Fostering investment on energy efficient appliances in India–A multi-perspective economic input-output lifecycle assessment

/* vim: set shiftwidth=2 tabstop=2 autoindent cindent expandtab filetype=css: */ /*! * Base CSS for pdf2htmlEX * Copyright 2012,2013 Lu Wang * https://github.com/pdf2htmlEX/pdf2htmlEX/blob/master/share/LICENSE */ /* Part 1: Web Page Layout: Free to modify, except for a few of them which are required by pdf2htmlEX.js, see the comments */ #sidebar { /* Sidebar */ position:absolute; top:0; left:0; bottom:0; width:250px; padding:0; margin:0px; overflow:auto; } #page-container { /* PDF container */ position:absolute; /* required for calculating relative positions of pages in pdf2htmlEX.js */ top:0; left:0px; margin:0; padding:0; border:0; /* required for lazy page loading in pdf2htmlEX.js (page visibility test) */ } @media screen { /* for sidebar */ #sidebar.opened + #page-container { left:250px; } #page-container { /* `bottom' and `right' are required for lazy page loading in pdf2htmlEX.js (page visibility test) * alternatively you may set width and height */ bottom:0; right:0; overflow:auto; } .loading-indicator_c00000 { display:none; } .loading-indicator_c00000.active { display:block; position:absolute; width:64px; height:64px; top:50%; left:50%; margin-top:-32px; margin-left:-32px; } .loading-indicator_c00000 img { position:absolute; top:0; left:0; bottom:0; right:0; } } @media print { @page { margin:0; } html { margin:0; } body { margin:0; -webkit-print-color-adjust:exact; /* enable printing background images for WebKit */ } #sidebar { display:none; } #page-container { width:auto; height:auto; overflow:visible; background-color:transparent; } .d_c00000 { display:none; } } /* Part 2: Page Elements: Modify with caution * The followings are base classes, some of which are meant to be override by PDF specific classes * So do not increase the specificity (e.g. ".classname_c00000" -> "#page-container .classname_c00000") */ .pf_c00000 { /* page */ position:relative; background-color:white; overflow: hidden; margin:0; border:0; /* required by pdf2htmlEX.js for page visibility test */ } .pc_c00000 { /* content of a page */ position:absolute; border:0; padding:0; margin:0; top:0; left:0; width:100%; height:100%; overflow:hidden; display:block; /* set transform-origin for scaling */ transform-origin:0% 0%; -ms-transform-origin:0% 0%; -webkit-transform-origin:0% 0%; } .pc_c00000.opened { /* used by pdf2htmlEX.js, to show/hide pages */ display:block; } .bf_c00000 { /* images that occupies the whole page */ position:absolute; border:0; margin:0; top:0; bottom:0; width:100%; height:100%; -ms-user-select:none; -moz-user-select:none; -webkit-user-select:none; user-select:none; } .bi_c00000 { /* images that cover only a part of the page */ position:absolute; border:0; margin:0; -ms-user-select:none; -moz-user-select:none; -webkit-user-select:none; user-select:none; } @media print { .pf_c00000 { margin:0; box-shadow:none; page-break-after:always; page-break-inside:avoid; } @-moz-document url-prefix() { /* fix page truncation for FireFox */ .pf_c00000 { overflow:visible; border:1px solid #FFFFFF; } .pc_c00000 {overflow:visible;} } } .c_c00000 { /* clip box */ position:absolute; border:0; padding:0; margin:0; overflow:hidden; display:block; } .t_c00000 { /* text line */ position:absolute; white-space:pre; font-size:1px; transform-origin:0% 100%; -ms-transform-origin:0% 100%; -webkit-transform-origin:0% 100%; unicode-bidi:bidi-override;/* For rtl languages, e.g. Hebrew, we don't want the default Unicode behaviour */ -moz-font-feature-settings:"liga" 0;/* We don't want Firefox to recognize ligatures */ } .t_c00000:after { /* webkit #35443 */ content: ''; } .t_c00000:before { /* Workaround Blink(up to 41)/Webkit bug of word-spacing with leading spaces (chromium #404444 and pdf2htmlEX #412) */ content: ''; display: inline-block; } .t_c00000 span { /* text blocks within a line */ /* Blink(up to 41)/Webkit have bug with negative word-spacing and inline-block (pdf2htmlEX #416), so keep normal span inline. */ position:relative; unicode-bidi:bidi-override; /* For rtl languages, e.g. Hebrew, we don't want the default Unicode behaviour */ } .__c00000 { /* text shift */ /* Blink(up to 41)/Webkit have bug with inline element, continuous spaces and word-spacing. 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to { opacity:1;} } @keyframes swing { 0% { transform: rotate(0deg); } 10% { transform: rotate(0deg); } 90% { transform: rotate(720deg); } 100%{ transform: rotate(720deg); } } @-webkit-keyframes swing { 0% { -webkit-transform: rotate(0deg); } 10% { -webkit-transform: rotate(0deg); } 90% { -webkit-transform: rotate(720deg); } 100%{ -webkit-transform: rotate(720deg); } } @media screen { #sidebar { background-color:#2f3236; /* modified from http://philbit.com/svgpatterns/#crossstripes */ background-image:url("data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI0IiBoZWlnaHQ9IjQiPgo8cmVjdCB3aWR0aD0iNCIgaGVpZ2h0PSI0IiBmaWxsPSIjNDAzYzNmIj48L3JlY3Q+CjxwYXRoIGQ9Ik0wIDBMNCA0Wk00IDBMMCA0WiIgc3Ryb2tlLXdpZHRoPSIxIiBzdHJva2U9IiMxZTI5MmQiPjwvcGF0aD4KPC9zdmc+"); } #outline { font-family:Georgia,Times,"Times New Roman",serif; font-size:13px; margin:2em 1em; } #outline ul { padding:0; } #outline li { list-style-type:none; margin:1em 0; } #outline li > ul { margin-left: 1em; } #outline a, #outline a:visited, #outline a:hover, #outline a:active { line-height:1.2; color:#e8e8e8; text-overflow:ellipsis; white-space:nowrap; text-decoration:none; display:block; overflow:hidden; outline:0; } #outline a:hover { color:rgb(0,204,255); } #page-container { background-color:#9e9e9e; /* http://philbit.com/svgpatterns/#thinstripes */ background-image: url("data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI1IiBoZWlnaHQ9IjUiPgo8cmVjdCB3aWR0aD0iNSIgaGVpZ2h0PSI1IiBmaWxsPSIjOWU5ZTllIj48L3JlY3Q+CjxwYXRoIGQ9Ik0wIDVMNSAwWk02IDRMNCA2Wk0tMSAxTDEgLTFaIiBzdHJva2U9IiM4ODgiIHN0cm9rZS13aWR0aD0iMSI+PC9wYXRoPgo8L3N2Zz4="); -webkit-transition:left 500ms; transition:left 500ms; } .pf_c00000 { margin: 13px auto; box-shadow: 1px 1px 3px 1px #333; /* Needed by IE to make box-shadow works * https://developer.mozilla.org/en-US/docs/Web/CSS/box-shadow */ border-collapse: separate; } .pc_c00000.opened { /* used by pdf2htmlEX.js, to show/hide pages */ -webkit-animation: fadein 100ms; animation: fadein 100ms; } .loading-indicator_c00000.active { /* * use 0.01s instead of 0s, * since YUI Compressor will change 0s to 0, * which is not recognized by Firefox */ -webkit-animation: swing 1.5s ease-in-out 0.01s infinite alternate none; animation: swing 1.5s ease-in-out 0.01s infinite alternate none; } .checked_c00000 { background: no-repeat 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.xd_c00000{left:409.020400pt;} .x23_c00000{left:415.371413pt;} .x1b_c00000{left:418.317188pt;} .x63_c00000{left:420.888015pt;} .x28_c00000{left:424.062800pt;} .x29_c00000{left:428.825067pt;} .x24_c00000{left:431.319064pt;} .x2a_c00000{left:432.226667pt;} .x2c_c00000{left:434.267600pt;} .x2d_c00000{left:439.029867pt;} .xe_c00000{left:440.994992pt;} .x2b_c00000{left:471.836133pt;} .x2e_c00000{left:538.128933pt;} .x2f_c00000{left:546.141600pt;} .x17_c00000{left:555.439376pt;} .xf_c00000{left:582.122667pt;} .x10_c00000{left:587.262800pt;} .x11_c00000{left:592.478533pt;} .x12_c00000{left:598.979333pt;} .x13_c00000{left:604.270667pt;} } Fost ering inv estment on energ y ef fi cient appliances in India e A multi- perspective economic in put-output lifecy cle assessmen t Vivek K umar Singh a , e , * , Carla Oliveira Henriq ues b , d , e , Ant  onio Gomes Martins c , d , e a MIT -Portugal Program, University of Coimbr a, Coimbra, Portugal b Polytechnic Institute of Coimbra, Coimbra Business School ISCAC, Portugal c Dept. of Electrical Engineering and Computers University of Coimbr a, Coimbra, Portugal d INESC Coimbra, P  olo II, R. Silvio Lima, Coimbra, Portugal e Energy for Sustainability Initiative, Univ ersity of Coimbra, Portugal article info Article history : Receiv ed 2 September 20 1 7 Receiv ed in revised form 24 January 20 1 8 Accepted 2 7 January 201 8 A vailable online 3 February 201 8 K eywords: A voided emissions Input-output life cy cle assessment Energy consumption Energy demand Energy ef fi ciency India's residential sector abstract Energy plannin g in man y developing Asian countries has negl ected the structure of energy dema nd and how it is likely to evolve as development takes its path. The limited availability of energy consumption data makes it very dif fi cult to assess the energ y savings pot ential at end-use level. Energy planning req uires the formulation of a proper modelling framework that supports the de fi nition of energy pol icies. From the different approaches av ailable, Input - Output (I-O) model s are particularly useful, since they allow considering different impac ts that can be consistent with different energy policy options. This paper proposes a novel I-O modelling framework by introducing a bottom-up approach into an I-O model which is combined with technical data for the holist ic asse ssment of ene rgy ef fi cient technologies in the residential sector , which can assist energy decision- makers of India on the appraisal of the future impacts of the current nationa l energy sav ing targets. A large size platform of real data has also been gathered considering different data sou rces, namely the household buildi ng stoc k characterization, the number of operating days according to the climatic regions of India, t he lifetime and the investment cost of equipment. Finally , the main results are discussed and future research opportunitie s are identi fi ed. © 201 8 Elsevier Ltd. All rights reserved. 1 . Intr oduction In 20 1 2 the residential secto r was resp onsible for consuming nearly one fourth of total worl d electricity consumption [ 1 ]. The gro wing penetration rate of electric appliances in developing countries, such as India, is one of the leading causes of the current energy demand and CO 2 emissions increase. In fact, according to India's Central Electricity Authority , electricity consumption in all households w as 203 T Wh in 20 1 3 [ 2 ]. In the past decade, popula- tion and energy consump tion gre w at a similar r ate to GDP (i.e. about 7%) and it is anticipated that energy consumption will likely surpass GDP's growth rate in about 1 0 e 30 years [ 3 ]. The leve l of comfort in the residential sector has been reported to steadily in- crease along with an incre asing dependence on electricity . The residential sector is at the second rank af ter industry with about 24% of total electricity demand in 20 1 3 e 20 1 4 [ 4 ] and appliances account for 35 e 40% of that demand [ 5 ]. Energy consumption has traditionally been tied to economic development. However , its environmen tal implications have been a driving factor for the de fi nition of contemporary envir onmental policy around the world, highlighting the role of energy ef fi ciency (EE) in the reduction of GHG emissions [ 6 , 7 ]. Therefore , the consequent rise in energy consumption and GHG emissions can be signi fi cantly r educed if consumers are motiv ated to buy energy ef fi cient appliances [ 8 ]. The International Energy Agency anticipates that by 2030 one of the lowest cost GHG emissions abatement option in Organisation for Economic Co-operation and Development countries will come from energy ef fi cient end-use technologies (EET) [ 9 ]. The support of EE policies can thus be seen as a cost-effective driv er of energy consumption and GHG emissions red uction, while provi ding economical energy services in different activity sectors [ 10 ]. The need for energy autonom y and EE plays a decisive role in the eco- nomic development and the societal prosperity for wo rldwide [ 11 ]. EE is an important element that needs to be included in any pro- gram associat ed with the promoti on of economic development in * Corresponding author . Energy for Sustainability Initiative, MIT -Portugal Pro- gram, Univ ersity of Coimbra, Coimbra, Portugal. E-mail address: Viv [email protected] (V.K. Singh). Contents lists available at ScienceDirect Energy journal homepage: www.elsevier.com/locate/energy https://doi.org/1 0. 1 0 1 6/j.energy.20 1 8.01 . 1 40 0360-54 42/ © 20 1 8 Elsevier Ltd. All rights reserved. Energy 1 49 (20 1 8) 1 022 e 1 035 all the countries without increasing the level in the use of energy sources for electricity generation. Sever al studies hav e estimated the impacts of the adoption of EET in the residential secto r in India. Most of these studies are focused on household electricity consumption [ 12 ]. For instance, the Lawrence Ber keley National Laboratory (LBNL) estimated the energy sa vings obtained for two particular appliances used in the residential sector: refriger ators and air conditioning [ 13 ]. A study conducted by the Energy Resources Institute assessed the energy sa vings in the residential sector as a whole and not per appliance/ end-use [ 14 ]. Reddy and Balachandra [ 15 ] comput ed the implicit energy savings pot ential from the usage of more ef fi cient appli- ances. A bottom e up analy sis approach was also developed by the LBNL (see Refs. [ 16 , 13 ]) for the residential sector in India by considering different use categories (e.g. lighting, water heaters, television, fan, washing machine, air coolers, air conditioners, re- friger ators, etc.). A similar study was also published by the W orld Bank [ 17 ] that uses both an end-use and a bottom-up modelling approach. Most of the studies herein reviewe d present big dis- crepancies between the project ed and the rea l energy potential sa vings per appliance/end-use and are also lacking an integrat ed E3S assessment. Energy models have been ext ensivel y used to address and assess the impact of different energy policy options [ 18 ]. These models became the focus of attention of researchers in the earl y seventies of the twentieth century with the fi rst oil crises. In the framew ork of energy systems, I-O analysis has been applied in a multitude of conte xts: to estimate China's energy disparities in energy con- sumption [ 19 ]; to provide primary energy forecasts in the Spanish economic system [ 20 ]; to analyse the employment impacts of EE retro fi t investments [ 21 ] and renew able energy targets in Portugal [ 22 ]; to account for the economic impacts of EE and renew able energy in Germany [ 23 ]; to compute direct and indirect energy use and carbon emissions in the production phase of buildings in Sweden [ 24 ]. Over the last decades, sever al I-O models were also coupled with other mathematically based formulations in order to enhance the understanding and prediction of future impacts of energy use. For e xample [ 25 ], identi fi ed strategies for mitigating the global w arming impact of the European U nion-25 economy by using a multi-objective I-O approa ch [ 26 ], optimized sectoral pro- duction with energy and GHG emission constr aints in Greece and [ 27 ] assessed the E3S tra de-offs in the Brazilian economic sy stem. A review of Input-output (I-O) analysis with Multi Objective Linear Progra mming models for the study of E3S interactions can be found in Ref. [ 28 ]. Suitable E3S models allow assessing the impacts of market transformation in the frame work of EE. I-O analysis pro- vides a modelling approach that can be particularly useful to compute the primary energy and GHG embodied in fi nal demand [ 29 ]. In this conte xt, this paper presents an I-O fra mework instanti- ated with real data which provides an integrated assessment of the E3S impacts of nine energy ef fi cient appliances currently used in India's residential sector , i.e. lighting sources (TFL), refrigerators (FR), room air -conditioners (RAC), wate r , electric heaters (EG), televisions (T V), computers (COM), ceiling fans (CF), w ater pumps (WEP) and washing machines (WM). The time horizon considered for the study herein conduct ed comprises 201 1 to 2030 and it is assumed that the adoption of energy ef fi cient appliances/end-uses will hav e started in 20 1 1 (the reference y ear of the study for which the most recent data was a vailable) and that all new appliances purchased will be energy ef fi cient (i.e. will correspond to the BA T). Although this also means that it is not possible to benchmark the outputs of the model with real data even for past years between 20 1 1 and the present date, the I-O modelling fra mework here in suggested is designed to assist planners and energy decision- makers of India on the appra isal of the future impacts of the cur - rent national energy saving targets, providing a contribution that can help to shape future energy plans in the country . In the ne xt Section a description of the I-O modelling frame work developed is giv en. Section 3 provides the main assumptions considered in order to instantiate the model. Section 4 presents a discussion of the main illustrativ e results obtained. Finally , some Nomenclature BA T Best A vailable T echnology BA U Business-As-Usual BEE Bureau of Energy Ef fi ciency CEA Central Electricity Authority CF Ceiling fan CH 4 Methane CO Carbon mono xide CO 2 Carbon dio xide COM Computer E3S Econom y , Energy , Environment and Social EET Energy ef fi cient technology EG Electric water heat er/geyser EIO Economic In put-Output FR F reezer GDP Gross Domestic Product GHG Greenhouse Gas G VA Gross Value Added G WP Global W arming Potential IND India I-O Input-Output kW kilow att kWh kilow att-hour LBNL Lawr ence Berkeley Na tional Laboratory LCA Lifecycle Assessment MOLP Multi Objectiv e Linear Programming N 2 O Nitrous o xide NH 3 Ammonia NMVOCs Non-Methane Volatile Organic Compounds NOx Nitro gen o xide O & M Operation and mainte nance RAC Room air conditioners SD A Structural decomposition analy sis SO x Sulphur o xide tCO 2 eq T onnes of CO 2 eq uivalent TESP T echnical energy sa vings potential TFL Tubular Fluor escent Lamp tNMVOCeq T onnes of NMOC equiv alent TOFP T ropospheric ozone formation potential TPS T echnical pot ential saving tSO 2 eq T onnes of SO 2 eq uivalent T V T elevision T Wh T era watt-hour UEC Unit energy consump tion WEP W ater electric pumps WM W ashing machine V .K. Singh et al. / Energy 1 49 (201 8) 1 022 e 1 035 1 023 conclusions are drawn and future work developments are suggested . 2. Methodology The E3S impact assessment of energy use of an econom y in a resource-c onstrained world req uires an understanding of the re- lationships between its economic, social, and energy-use elements [ 22 ]. I-O is an approach that allows capturing all the econom y-wide interdependen cies. Generalized I-O analysis allows obtaining t otal factor multipliers, which describe embodiments of production factors (e.g. labour , energy , resources) and pollutants per unit of fi nal consumption of commodities [ 18 ]. The traditional economic I-O model is based on an I-O matrix with the economic fl ows between industries that can be e xtended with information regarding the E3S impacts, creating additional columns and rows that represent the E3S impacts per each activity sector/industry [ 30 ]. This additional information is obtained just by combining national accounts with satellite national statistics for pollutant emissions, employment and energy . According to the traditional I-O framew ork, the productive system at a national level can then be rep resented in its matrix form following the basic I-O system of equations: x ¼ A x þ y , (1) where A is a matrix of t echnological coef fi cients, y is a vector of fi nal demand (household consumption, go vernment consumption, in- vestment and net exports) and x is a vect or of the corresponding outputs. In order to fi nally obtain the output multipliers, the Leontief inverse matrix needs t o be obtained. Equation (1) can then be readjust ed to: x ¼ (I  A)  1 y , (2) where I is the identity matrix with convenient dimensions and (I e A)  1 is also known as the Leontief inverse. Each generic element of (I e A)  1 repr esents the total amount of good or service i directl y and indirectly needed to deliver a unit of fi nal demand of good or service j [ 31 ]. Indeed, the Leontief inverse indicates the direct, in- direct and induced r equirements of pr oduction that are needed to satisfy a particular fi nal demand vector . Thus, this matrix is also known as the multiplier matrix. An approach for obtaining the E3S impacts associated with inter -industry activity consists of assuming a matrix of direct impact coef fi cients, R. Hence, the level of E3S impacts associated with a given vect or of total outputs can be e xpressed as: r ¼ R x , (3) where r is the vect or of E3S impact levels. Thus, we can compute vector r as a function of fi nal demand, i. e: r ¼ R( I  A)  1 y , (4) Finally , from (4) we can interpr et R (I e A)  1 as a matrix of total E3S impact coef fi cients; i.e., an element of this matrix is the total E3S impacts per monetary unit of fi nal demand presented to the econom y . Since of fi cial published I-O data do not provide the clear iden- ti fi cation of the E3S impacts that are likely to be created by an in- crease in the demand for the use of a typical BA T/BA U appliance, in the ne xt Section of the paper we pro vide a thorough e xplanation of the approa ch herein suggested, by combining data on e xpenditures for domestic appliances with I-O modelling techniq ues to arrive at the related direct, indirec t and induced economic, energy , envi- ronmental and social impact effects. 2. 1 . A new framework for assessing energy ef fi cient appliances In order to assess these E3S estimates, the economic impulses that originate these impacts must be identi fi ed (as in T able 1 ). Therefore , the lifecycle of a BA T/BAU appliance is divid ed into different lifecy cle phases (i.e. installation and operation and maintenance - O & M) and then these phases need to be further decomposed into their corresponding activities/components. Through collecting information on the to tal expenditur e connected to each lifecy cle phase, along with data on the cost share of each relev ant acti vity/component as a percentage of the corresponding lifecy cle phase, it is then possible to calculate the to tal output (in monetary units) of each of these r elevant acti vities/components. The lifecycle phases can then be economic activities that provide impulses in the form of e xpenditures that can g enerate differ ent E3S effects. Impulses (e.g. expenditure s for O & M, manufacturing and installation of BA T/BA U appliances) are regarded as ex oge- nously determined paramet ers that trigger an economic mecha- nism that leads to sever al effects. Effects (e.g. a direct positive effect could be an increase in BA T/BA U appliance production; a negative induced effect could be a decrease in the consump tion of goods) relate to ho w impulses in fl uence the econom y e positively , nega- tiv ely , directly , indirectl y or induced. The most important impulses herein analysed ar e: investment and O & M e xpenditures, including impacts on upstream industries (direct and indirect effects e ob- tained through type I multipliers, i.e. (direct effect þ indirect ef- fect)/direct effect); the impulse from household income due to changes in the investment on BA T/BA U appliances (obtained through type II multipliers e i.e. (direct effects þ indirect effects þ induced effects)/direct effect). Fig. 1 depicts the relation- ship between impulses, effects and impacts. The methodological approach follow ed has various imple- mentation steps which are provided below , being also depicted in Fig. 2 . Step 1 e De fi ning the system boundaries of BA U/BA T appli- ance industries:  The BA U/BA T appliance industries include all economic activ- ities that are related to and are characteristic for or speci fi ct o BA U/BA T appliance use.  The term “ BA U/BA T appliance use ” comprises the complete lifecy cle of the BA U/BA T appliance use, which can be rou ghly split into: manufacturing and operation.  The life cy cle consists of various activities such as manufacturing the v arious components needed for the BA U/BA T appliance use, O & M and replacement of parts after their de fi ned lifetime is over (see Fig. 3 ). Step 2 - Determine e xpenditures for the BA U/BA T appliance use:  Compute the number of households for the time horizon of the analy sis and obtain the appliance ownership and sales up to 2030. Estimate the number of BA T appliances needed to calcu- late the inv estment on new energy ef fi cient appliances.  Determine energy consumption during operation based on the computation of total annual energy demand with e xpressions (5) and (6) .  Obtain the technical energy savings pot ential with e xpression (7) . V .K. Singh et al. / Energy 1 49 (20 1 8) 1022 e 1 035 1 024 1) Energy Demand EBA U k ¼ P i [NOH k  (RP A i  OT A i )  TNS i ] (5) EBA T k ¼ P i [NOH k  (RP A(BEE h ) i  OT A i )  TNS i ] (6) 2) Energy Savings per year k D E(y) k ¼ EBA T k  EBA U k . (7) where EBA U k is the BA U energy demand at year k, EBA T k is the BA T energy demand at year k, NOH k is the projected number of dwellings for year k, RP A i is the rated power of appliance/end-use i, RP A(BEE h ) i is the rated po wer of appliance/end-use i for the star labelling ef fi cient appliances according to the BEE, OT A i is the operational time per year of appliance/end-use i and TNS i the a verage number of appliance/end-use of type i per household. Step 3 - Calculate domestic output by BA U/BA T appliance technology :  Distribute the e xpenditures to cost components which can be related to certain economic activities (see Fig. 3 ).  Determine, at the cost component level, the import shares and subtract imports from expenditur es to obtain domestic output.  Allocate the domestic output for each economic activity to the appropriate industry as represented in the I-O model.  Compile a vector of domestic output by industry for each life- cy cle phase of each technology . Put all the vecto rs into a matrix of direct domestic output by industry . Step 4 - Calculate direct, indirect and induced E3S net impacts: 1) Economic impacts  The G VA is the v alue of output less the v alue of intermediate consumption and it can be seen as a measure of the contribution to GDP made by the industry sectors engaged with the BA U/BA T appliances.  The computation of the net G VA has been done in two stages:  Computation of the direct, indirect and induced GVA gener ated during the production and installation of BA T and BA U appliances.  Computation of the direct, indirect and induced G VA throughout the lifetime of the equipment due to energy consumption.  The computation of the net GVA is then obtained by considering:  G VA from BA T (BA U) appliances ¼ G VA during production and installation of BA T (BA U) appliances þ G VA generated throughout the lifetime of the BA T (BA U) appliances due to energy consumption.  Net G VA ¼ GVA from BA T appliances e GVA from BA U appliances. 2) Environmental impacts  The computation of the net pollutant emissions has been done in two steps:  Computation of the direct, indirect and induced emissions gener ated during the production and installation of BA T and BA U appliances.  Computation of the direct, indirect and induced emissions throughout the lifetime of the equipment.  The computation of the a voided emissions is then obtained by considering:  A voided emissions ¼ BA U emissions - BA T emissions  Emissions from BA T (BAU) appliances ¼ Emissions during pro- duction and installation of BA T (BA U) appliances þ Emissions throughout the lifetime of the of BA T (BA U) appliances.  The emissions associated with the decommissioning and dismantling of the appliances have not been considered due to the lack of data sources and the absence of electronic w aste management facilities in India. 3) Social impacts  The computation of net employment has been done in two steps: T able 1 Methodology application of the EIO-LCA framework. Divide into lifecycle phase  Manufacturing and Installation. Decompose lifecycle phases into their activities/components  Example of components involved in the manufacturing phase of washing machines: glass, metal, rubber, plastics, insulation material and electronic component Calculate total output of each relevant activity/component  Obtain appliance costs and material shares (as a %).  Connect total expenditure to each component and compute domestic output. Match the domestic output of each relevant activity/component of BAT/BAU appliance to the industry in the IO table  Assign the domestic output of each activity/component previously calculated to the corresponding industries. Calculate the multiplier effects of each activity/component  Compute IO multipliers (for each emission type considered or for obtaining embodied energy), to arrive at indirect and induced effects. Fig. 1 . Impulses, effects and impacts relationship. V .K. Singh et al. / Energy 1 49 (201 8) 1 022 e 1 035 1 025  Computation of the direct, indirect and induced employment generat ed during the production and installation of BA T and BA U appliances.  Computation of the direct, indirect and induced employment throughout the lifetime of the equipment.  In this case, we consider that the employment generated during the manufacturing stage of BA U appliances will be kept with the replacement of old appliances with BA T appliances, assuming in this situation that an upgrade of the job skills is suf fi cient. Therefore , the computation of the net employ ment is then obtained by considering:  Net employment ¼ Employment from BA U appliances þ Net employment change e Employ ment loss.  Net employment change ¼ Employment from BA T appliances e Employment from BA U appliances.  Employment from BA T (BA U) appliances ¼ Employment during production and installation of BA T (BA U) appliances. Fig. 2. Schematic illustration of the implementation steps required for the application of the I-O modelling approach. V .K. Singh et al. / Energy 1 49 (20 1 8) 1022 e 1 035 1 026 /* vim: set shiftwidth=2 tabstop=2 autoindent cindent expandtab filetype=css: */ /*! * Base CSS for pdf2htmlEX * Copyright 2012,2013 Lu Wang * https://github.com/pdf2htmlEX/pdf2htmlEX/blob/master/share/LICENSE */ /* Part 1: Web Page Layout: Free to modify, except for a few of them which are required by pdf2htmlEX.js, see the comments */ #sidebar { /* Sidebar */ position:absolute; top:0; left:0; bottom:0; width:250px; padding:0; margin:0px; overflow:auto; } #page-container { /* PDF container */ position:absolute; /* required for calculating relative positions of pages in pdf2htmlEX.js */ top:0; left:0px; margin:0; padding:0; border:0; /* required for lazy page loading in pdf2htmlEX.js (page visibility test) */ } @media screen { /* for sidebar */ #sidebar.opened + #page-container { left:250px; } #page-container { /* `bottom' and `right' are required for lazy page loading in pdf2htmlEX.js (page visibility test) * alternatively you may set width and height */ bottom:0; right:0; overflow:auto; } .loading-indicator_c00001 { display:none; } .loading-indicator_c00001.active { display:block; position:absolute; width:64px; height:64px; top:50%; left:50%; margin-top:-32px; margin-left:-32px; } .loading-indicator_c00001 img { position:absolute; top:0; left:0; bottom:0; right:0; } } @media print { @page { margin:0; } html { margin:0; } body { margin:0; -webkit-print-color-adjust:exact; /* enable printing background images for WebKit */ } #sidebar { display:none; } #page-container { width:auto; height:auto; overflow:visible; background-color:transparent; } .d_c00001 { display:none; } } /* Part 2: Page Elements: Modify with caution * The followings are base classes, some of which are meant to be override by PDF specific classes * So do not increase the specificity (e.g. ".classname_c00001" -> "#page-container .classname_c00001") */ .pf_c00001 { /* page */ position:relative; background-color:white; overflow: hidden; margin:0; border:0; /* required by pdf2htmlEX.js for page visibility test */ } .pc_c00001 { /* content of a page */ position:absolute; border:0; padding:0; margin:0; top:0; left:0; width:100%; height:100%; overflow:hidden; display:block; /* set transform-origin for scaling */ transform-origin:0% 0%; -ms-transform-origin:0% 0%; -webkit-transform-origin:0% 0%; } .pc_c00001.opened { /* used by pdf2htmlEX.js, to show/hide pages */ display:block; } .bf_c00001 { /* images that occupies the whole page */ position:absolute; border:0; margin:0; top:0; bottom:0; width:100%; height:100%; -ms-user-select:none; -moz-user-select:none; -webkit-user-select:none; user-select:none; } .bi_c00001 { /* images that cover only a part of the page */ position:absolute; border:0; margin:0; -ms-user-select:none; -moz-user-select:none; -webkit-user-select:none; user-select:none; } @media print { .pf_c00001 { margin:0; box-shadow:none; page-break-after:always; page-break-inside:avoid; } @-moz-document url-prefix() { /* fix page truncation for FireFox */ .pf_c00001 { overflow:visible; border:1px solid #FFFFFF; } .pc_c00001 {overflow:visible;} } } .c_c00001 { /* clip box */ position:absolute; border:0; padding:0; margin:0; overflow:hidden; display:block; } .t_c00001 { /* text line */ position:absolute; white-space:pre; font-size:1px; transform-origin:0% 100%; -ms-transform-origin:0% 100%; -webkit-transform-origin:0% 100%; unicode-bidi:bidi-override;/* For rtl languages, e.g. Hebrew, we don't want the default Unicode behaviour */ -moz-font-feature-settings:"liga" 0;/* We don't want Firefox to recognize ligatures */ } .t_c00001:after { /* webkit #35443 */ content: ''; } .t_c00001:before { /* Workaround Blink(up to 41)/Webkit bug of word-spacing with leading spaces (chromium #404444 and pdf2htmlEX #412) */ content: ''; display: inline-block; } .t_c00001 span { /* text blocks within a line */ /* Blink(up to 41)/Webkit have bug with negative word-spacing and inline-block (pdf2htmlEX #416), so keep normal span inline. */ position:relative; unicode-bidi:bidi-override; /* For rtl languages, e.g. Hebrew, we don't want the default Unicode behaviour */ } .__c00001 { /* text shift */ /* Blink(up to 41)/Webkit have bug with inline element, continuous spaces and word-spacing. Workaround by inline-block. */ display: inline-block; color: transparent; z-index: -1; } /* selection background should not be opaque, for fallback mode */ ::selection{ background: rgba(127,255,255,0.4); } ::-moz-selection{ background: rgba(127,255,255,0.4); } .pi_c00001 { /* info for Javascript */ display:none; } .l_c00001 { /* annotation links */ } /* transparent color - WebKit */ .d_c00001 { /* css drawing */ position:absolute; transform-origin:0% 100%; -ms-transform-origin:0% 100%; -webkit-transform-origin:0% 100%; } /* for the forms */ .it_c00001 { border: none; background-color: rgba(255, 255, 255, 0.0); } .ir_c00001:hover { cursor: pointer; } /* Base CSS END */ /* vim: set shiftwidth=2 tabstop=2 autoindent cindent expandtab filetype=css: */ /*! * Fancy styles for pdf2htmlEX * Copyright 2012,2013 Lu Wang * https://github.com/pdf2htmlEX/pdf2htmlEX/blob/master/share/LICENSE */ @keyframes fadein { from { opacity:0;} to { opacity:1;} } @-webkit-keyframes fadein { from { opacity:0;} to { opacity:1;} } @keyframes swing { 0% { transform: rotate(0deg); } 10% { transform: rotate(0deg); } 90% { transform: rotate(720deg); } 100%{ transform: rotate(720deg); } } @-webkit-keyframes swing { 0% { -webkit-transform: rotate(0deg); } 10% { -webkit-transform: rotate(0deg); } 90% { -webkit-transform: rotate(720deg); } 100%{ -webkit-transform: rotate(720deg); } } @media screen { #sidebar { background-color:#2f3236; /* modified from http://philbit.com/svgpatterns/#crossstripes */ background-image:url("data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI0IiBoZWlnaHQ9IjQiPgo8cmVjdCB3aWR0aD0iNCIgaGVpZ2h0PSI0IiBmaWxsPSIjNDAzYzNmIj48L3JlY3Q+CjxwYXRoIGQ9Ik0wIDBMNCA0Wk00IDBMMCA0WiIgc3Ryb2tlLXdpZHRoPSIxIiBzdHJva2U9IiMxZTI5MmQiPjwvcGF0aD4KPC9zdmc+"); } #outline { font-family:Georgia,Times,"Times New Roman",serif; font-size:13px; margin:2em 1em; } #outline ul { padding:0; } #outline li { list-style-type:none; margin:1em 0; } #outline li > ul { margin-left: 1em; } #outline a, #outline a:visited, #outline a:hover, #outline a:active { line-height:1.2; color:#e8e8e8; text-overflow:ellipsis; white-space:nowrap; text-decoration:none; display:block; overflow:hidden; outline:0; } #outline a:hover { color:rgb(0,204,255); } #page-container { background-color:#9e9e9e; /* http://philbit.com/svgpatterns/#thinstripes */ background-image: url("data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI1IiBoZWlnaHQ9IjUiPgo8cmVjdCB3aWR0aD0iNSIgaGVpZ2h0PSI1IiBmaWxsPSIjOWU5ZTllIj48L3JlY3Q+CjxwYXRoIGQ9Ik0wIDVMNSAwWk02IDRMNCA2Wk0tMSAxTDEgLTFaIiBzdHJva2U9IiM4ODgiIHN0cm9rZS13aWR0aD0iMSI+PC9wYXRoPgo8L3N2Zz4="); -webkit-transition:left 500ms; transition:left 500ms; } .pf_c00001 { margin: 13px auto; box-shadow: 1px 1px 3px 1px #333; /* Needed by IE to make box-shadow works * https://developer.mozilla.org/en-US/docs/Web/CSS/box-shadow */ border-collapse: separate; } .pc_c00001.opened { /* used by pdf2htmlEX.js, to 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U appliances - Employment due to electricity con- sumption by BA T appliances. 3. Assumptions and estimate s In order to apply the I-O adjusted modelling framew ork to our problem, a large size data platform of real data for the resi dential sector in India has been gathered considering different data sources in particular: national I-O tables [ 32 ] and satellite accounts (socio economic accounts and environmental accounts) published by the worl d I-O database ( http://www .wiod.org/ ) for India, the house- hold building st ock characterization, the number of opera ting days according t o the climatic regions of India, the lifetime and the in- vestment cost of each energy ef fi cient equipment/measure (see T able 2 , T able 3 , and T able 4 ). The a verage shar e of materials and corresponding costs we re obtained from Refs. [ 33 e 36 ] e see T able 3 . The inv estment costs used for each BA T appliances wer e attained from web based market research on sever al shopping websites and star labelling ef fi cient appliances. T able 5 pro vides the projected ov erall investment on BA T appliances according to basic constant prices for several land mark periods. Data regarding energy consumption has been ob- tained from the energy balance of India and then combined with the W orld I-O Database. The base y ear of our study is 20 1 1 because this is the y ear for which v alidated census data is a vailable. The time fra me considered in our analysis goes from 201 1 to 2030. The reason for this choice lies on the fact that it is expected that ma jor technological changes will only take place within the ne xt 1 6 e 20 years (see for example the replacement of cathode ray tube television by plasma display or Fig. 3. Lifecycle and supply chains of appliances. T able 2 Speci fi c features of BA T appliances. Appliance/end-use Lifetime (years) Energy saving (kWh/year) TFL 14 35 EG 15 119 TV 10 153 CF 15 58 FR 15 270 RAC 10 950 WM 15 219 COM 5 146 WEP 15 400 T able 3 Share of materials and costs. TFL EG TV CF FR RAC WM COM WEP Share of material Glass 90.0% 00.0% 10.0% 80.0% 0.0% 0.0% 0.0% 55.0% 0.0% Metal 4.0% 70.0% 10.0% 15.0% 60.0% 60.0% 60.0% 10.0% 75.0% Rubber 0.0% 0.0% 0.0% 0.0% 5.0% 5.0% 5.0% 10.0% 0.0% Plastics 4.0% 0.0% 60.0% 0.0% 10.0% 20.0% 5.0% 5.0% 10.0% Insulation material 0.0% 25.0% 0.0% 0.0% 10.0% 10.0% 20.0% 0.0% 0.0% Electronic 2.0% 5.0% 20.0% 5.0% 15.0% 5.0% 10.0% 20.0% 15.0% Share of cost Glass 40.0% 00.0% 15.0% 35.0% 0.0% 0.0% 0.0% 20.0% 0.0% Metal 5.0% 40.0% 20.0% 15.0% 25.0% 35.0% 20.0% 20.0% 40.0% Rubber 0.0% 0.0% 0.0% 0.0% 5.0% 5.0% 5.0% 20.0% 0.0% Plastics 25.0% 0.0% 15.0% 0.0% 5.0% 10.0% 5.0% 5.0% 10.0% Insulation material 0.0% 30.0% 0.0% 0.0% 5.0% 10.0% 10.0% 0.0% 0.0% Electronic 30.0% 30.0% 50.0% 50.0% 60.0% 40.0% 40.0% 35.0% 50.0% V .K. Singh et al. / Energy 1 49 (20 1 8) 1 022 e 1 035 1 027 liq uid crystal displa y television) [ 6 ]. In our study , we have assumed that the adoption of energy ef fi cient appliances/end-uses will hav e started in 20 1 1 and that all new appliances purchased will be en- ergy ef fi cient (i.e. BA T appliances), meaning that it is not possible to benchmark the outputs of the model with real data ev en for past y ears between 20 1 1 and the present date. 3. 1 . Household projections The household size is usually considered in this sort of studies and projection [ 8 , 17 ]. Nev ertheless, our methodology is slightly different and based on the classi fi cation of households, according to the Census of India [ 37 , 38 ], (see T able 6 ). According to the Census of India, the total number of households will reach 34 4,9 78,775 by 2030. Following Step 2 of the method- ology explained in the previous Section, the annual per centage of gro wth rat e is projected to be 2.2% by 2030 (see T able 7 ). 3.2. Appliance ownership and sales In order to estimate future sales, we ha ve used a linear regr es- sion model based on data of the sales within the period of 20 07 e 201 1 . The results obtained were validated and contrasted with the data published in Refs. [ 6 , 17 , 39 , 40 , 41 ]. Data regarding the rate of appliance ownership were based on sever al data sources. The total share of sales to the residential sector are giv en in T able 8 . Data regarding the rate of appliance ownership were based on severa l data sour ces (see T able 9 ). 3.3. Selection of appliances W e hav e identi fi ed twenty typical appliances/end-uses in the residential sector . However , only nine appliances are account ed for in the energy ef fi cient star labelling appliance/end-use categories of the BEE by Government of India (see R efs. [ 48 , 49 ]). Therefore, our study will only focus on those nine electrical appliances/end-uses (see T able 1 0 ). The av erage y early energy consump tion values consider ed in our analysis for BA T/BA U appliances are provided in T able 1 1 . 3.4. Oper ating hours per year T able 12 show s the operating hours per year consider ed for each BA T/BA U appliance, which we re based on [ 12 e 14 , 17 , 41 ], and [ 71 ]. 4. Discussion of results The I-O framewor k here in developed allows estimating the net E3S impacts obtainable with the investment in BA T appliances within a consistent framework. Our approach combines data on expenditur es for domestic appliances with I-O modelling to assess the related direct, indirec t and induced E3S effects. The illustrative results regar ding the E3S impact assessment of the nine electrical appliances under evaluation are presented below . 4. 1 . Energy consumption Some of the impacts of a voided electricity consumption during the operation stage of the nine energy ef fi cient appliances (BA T), as compared to the corresponding conventional ones (B A U) herein considered were computed according to the methodology followed in Section 2 and to data and assumptions pro vided in Sections 3 and 4 . The results obtained for the time horizon considered in this study are pr esented in Fig. 4 , where TESP stands for technical energy sa vings potent ial. Out of the nine appliances under assessment three (T V, CF , FR) are res ponsible for more than 80% of the energy consump tion in T able 4 Prices of BA U/BA T appliances. Appliance/end-use BAU BAT Wholesaler Price $ (cost) without tax VAT % Price $ (cost) tax Consumer price $ Basic Price $ Wholesaler Price $ (cost) without tax VAT % Price $ (cost) tax Consumer price $ Basic Price $ TFL 4 4.5 0.18 4.18 1.2 12.27 4.5 1.5 13.77 3.07 EG 114 12.5 14.2 128.2 39.9 136.4 12.5 17 153.4 34.09 TV 150 12.5 18.7 168.7 52.5 300 12.5 37.5 337.5 105 CF 28 12.5 3.5 31.5 4.2 100 12.5 12.5 112.5 15 FR 216 12.5 27 243 64 381.8 12.5 47.7 429.5 114.55 RAC 450 12.5 56.2 506.2 135 554.6 12.5 69.3 623.9 166.3 WM 250 12.5 11.2 261.2 62.5 309.1 12.5 102 411.1 92.7 COM 620 12.5 77.5 697.5 186 818.2 12.5 38.6 856.8 204.5 WEP 40 12.5 5 45 10 76.36 12.5 9.5 85.86 85.91 T able 5 Overall anticipated investment on BAT appliances in million ($). Appliance/end-use 2011 2015 2020 2025 2030 TFL 405 464 543 622 700 EG 37 54 70 91 109 TV 26,949 29,756 36,165 42,462 48,823 CF 2618 3381 4335 7586 10,838 FR 3890 6207 9104 13,241 17,379 RAC 437 1228 2216 551 6947 WM 163 205 257 308 360 COM 3734 5992 8859 11,700 14,556 W E P 2 13 24 55 87 2 T able 6 Household dwelling classi fi cation. Years Number of dwelling rooms: No exclusive - Households, Total Number of dwelling rooms: one - Households, Total Number of dwelling rooms: Two or three - Households, Total Number of dwelling rooms: Four and above - Households, Total Total Household 1991 45,300 61,139,900 67,089,300 22,725,500 151,000,000 2001 5,972,416 73,856,117 85,113,213 27,022,189 191,963,935 2011 9,638,369 91,491,894 113,928,405 31,633,999 246,692,667 V .K. Singh et al. / Energy 1 49 (20 1 8) 1 022 e 1 035 1 028 20 1 1 (see Fig. 4 ). If the replacement of BA U with BA T appliances took place in the time of horizon of this study , the avoi ded electricity consumption would correspon d to 97 T Wh in 20 1 1 , 1 29 T Wh in 201 5, 1 94 T Wh in 2020 and 326 T Wh in 2030 (see T able 1 3 ). According to our projec tions and to the penetration rate of the electrical appliances ev aluated in 2030 a redu ction is anticipated of 98.6 T Wh, 7 4.7 T Wh and 56.7 T Wh of electricity consump tion with the replacement BA U with BA T for T V, COM and FR, respectiv ely (see T able 12 ). A study conducted to estimate the electricity savings obtained from the replacement of RAC, FR, T V and CF BA U with BA T suggests a reduction of electricity consumpt ion in Indian households of 1 65 T Wh in 2030 [ 8 ]. LBNL estimated a reduction of electricity con- sumption for Indian households of 78 T Wh in 2030 just with the replacement of RA C and FR [ 72 ]. According to our assessment the over all amount of energy savings attainable in 2030 with the replacement of BA U RAC, FR, T V and CF with BA T would be 227 T Wh. These results illustrate the tremendous impact on the energy sa vings if measures to promote the investment in energy ef fi cient appliances are adopted and become effective, namely avoiding the need of installing new thermal power plants in India. 4.2. A voided energy costs W e ha ve computed the cumulati ve electricity savings and cor - responding energy av oided costs by taking into account the energy sa vings obtainable with the energy ef fi cient technologies (BA T) T able 7 Household projections up to 2030. Sources Years Number of dwelling rooms: No exclusive - Households, Total Number of dwelling rooms: one - Households, Total Number of dwelling rooms: Two or three - Households, Total Number of dwelling rooms: Four and above - Households, Total TOTAL Census data India 1991 45,300 61,139,900 67,089,300 22,725,500 151,000,000 2001 5,972,416 73,856,117 8,51,13,213 27,022,189 191,963,935 2011 9,638,369 91,491,894 113,928,405 31,633,999 246,692,667 Projections 2012 10,494,883 92,189,567 114,471,814 3,2026,904 2491,83,168 2013 10,667,276 94,375,666 118,280,152 32,515,149 255,838,243 2014 11,295,750 95,569,480 119,911,870 32,939,834 259,716,935 2015 11,620,170 97,424,818 122,994,668 33,406,893 265,446,548 2016 12,147,293 98,839,140 125,110,080 33,845,702 269,942,214 2017 12,539,280 100,547,472 127,870,415 34,303,345 275,260,512 2018 13,021,358 102,059,798 130,200,802 34,748,432 280,030,389 2019 13,443,375 103,702,795 132,817,821 35,201,889 285,165,880 2020 13,905,433 105,258,677 135,243,752 35,649,766 290057628 2021 14,340,797 106,872,636 137,797,075 36,101,363 295,111,871 2022 14,793,957 108,447,877 140,265,470 36,550,481 300,057,785 2023 15,235,253 110,048,930 142,790,483 37,001,251 305,075,918 2024 15,684,458 111,632,775 145,277,751 37,450,919 310,045,904 2025 16,128,391 113,228,092 147,790,183 37,901,322 315,047,989 2026 16,575,838 114,815,762 150,285,839 38,351,236 320,028,674 2027 17,020,943 116,408,529 152,792,678 38,801,476 325,023,626 2028 17,467,609 1179,97,898 155,292,062 39,251,498 330,009,067 2029 17,913,234 119,589,533 157,796,417 39,701,665 335,000,848 2030 18,359,553 121,179,657 160,297,457 40,151,735 339,988,403 Bold values signi fi es the base/projected year of time -horizon. T able 8 Share of sales per each appliance in the residential sector . Appliance/end-use TFL EG TV CF FR RAC WM COM WEP % of sales 66 85 85 85 85 60 85 50 50 T able 9 Appliance ownership projections. Type of Appliance/end-use Stock in million Data Sources 2011 2015 2020 2025 2030 TFL 194 222 260 298 335 [ 6 , 17 , 39 , 40 , 41 ] FR 47 75 110 160 210 [ 6 , 17 , 41 ] TV 336 345 392 477 560 [ 6 , 17 , 41 , 42 ] RAC 7 21 37 77 116 [ 6 , 17 , 41 , 43 ] CF 242 312 400 700 1000 [ 6 , 17 , 41 , 44 , 45 ] E G 22344[ 6 , 17 , 41 ] W M 23455[ 6 , 17 , 41 , 46 ] COM 91 146 217 286 356 [ 6 , 17 , 41 ] W E P 22345[ 47 ] T able 1 0 Energy Labelling scheme up to 201 6. With energy label scheme Without energy label scheme TFL M Tape recorder, CD player FR M Radio TV M Air cooler RAC M Room heater CF V Set-Top Box EG M DVD Players WM V Electric Oven, COM V Incandescent bulb WEP V Compact Fluorescent Lamp Legend: M-Mandatory Label V-Voluntary Label T able 1 1 A verage yearl y energy consumption for BA T/BA U appliances. Appliance/end-use BAT kWh/year BAU kWh/year References TFL 53 88 [ 50 e 52 ] EG 319 438 [ 53 , 54 ] TV 175 329 [ 55 , 56 ] CF 161 219 [ 56 , 57 ] FR 330 600 [ 58 e 60 ] RAC 2204 3154 [ 61 , 62 ] WM 146 365 [ 63 e 65 ] COM 219 365 [ 66 e 68 ] WEP 400 799 [ 69 , 70 ] V .K. Singh et al. / Energy 1 49 (20 1 8) 1 022 e 1 035 1 029 against convention al technologies (BA U). Fig. 5 illustrates the a voided energy costs in different time fra mes indicating that the investment in more ef fi cient T V, COM and RAC offers the highest potent ial for reducing energy costs. Out of the nine BA T appliances considered, T V, COM and RA C ( Fig. 5 ) are accountable for more than 80% of the expect ed avoi ded energy costs. Namel y , the replacement of BA U appliances with BA T appliances corresponds to an over all a voided energy cost in million $ of about 6 1 09 in 20 1 1 , 70,5 1 9 in 20 1 5, 281 ,837 in 2020, 566,242 in 2025 and 93 7 ,349 in 2030. 4.3. Economic impacts The anticipated direct, indirect and induced impact on G VA resulting from the investment in energy ef fi cient appliances for the different time horizons of this study is provided below (see Fig. 6 ). Out of the nine BA T appliances considered only COM, T V, CF and FR are responsible for more than 80% of the e xpected net GVA in 20 1 1 (see Fig. 6 ). The replacement of BA U appliances with BAT appliances corresponds to a net positive direc t, indirect and induced G VA of 5, 460 million $, 440 6 million $, and 1 4 4 million $, in 20 1 1 , respectiv ely (see T able 1 4 ). The positive impacts on GVA alway s occur in the manufacturing lifecy cle stages while the neg- ativ es impacts are obtained in the operation stage. This e xplains the anticipated ov erall negative economic impact on direct, indirect and induced G VA in 20 1 5, 2020, 2025 and 2030. 4.4. En vironmental im pacts The emissions accounted for in our study include both CO 2 emission and non-CO 2 emissions and involv e energy-related and non-energy related combustion, cov ering their corresponding global warming potent ial (G WP) in tonnes of CO 2 equi valent (tCO 2 eq) [ 73 , 74 ]. SO 2 ,N O x and NH 3 are the primary gases used to account for the acidi fi cation potential [ 75 ]. The tropospheric ozone potent ial involv es emissions of the following gases: NO x , NMVOC, CO and CH 4 [ 76 ]. The avoided GHG emissions were computed by considering that each GHG has a differ ent G WP and persists for a different period of time in the atmosphere. The thr ee main GHG and their 1 0 0-year G WP compared to carbon dioxide are [ 76 ]: 1  CO 2 ;2 5  CH 4 (i.e. releasing 1 kg of CH 4 into the atmosphere is almost equiv alent to releasing 25 kg of CO 2 ); 298  N 2 O (i.e. releasing 1 kg of N 2 O into the atmosphere is almost equiv alent to releasing 298 kg of CO 2 ). The calculation of the acidi fi cation potential is analogous to the G WP and is stated in SO 2 eq uiv alents (t SO 2 eq). The chosen acidi- fying substances (i.e. SO 2 ,N O x and NH 3 ) are aggregated into a single indicator , after assigning to each speci fi c pollutant the corre- sponding acidi fi cation potential: 1  SO 2 ; 0.7  of N 2 O and NO X (i.e. releasing 1 kg of N 2 O and NO X into the atmosphere is almost eq uiv alent to releasing 0.70 kg of SO 2 ); 1 .88  NH 3 (i.e. releasing 1k g N H 3 into the atmosphere is almost equiv alent to releasing 1 .88 kg of SO 2 )[ 76 ]. The calculation of the tropospheric ozone formation potential T able 1 2 Appliance operating hours per year . Type of Appliance/end-use 2011 2015 2020 2025 2030 References TFL Hrs/Year 1460 1460 1460 1460 1460 [ 12 e 14 , 17 , 39 , 69 ]. EG Hrs/Year 100 100 100 100 100 TV Hrs/Year 2190 2190 2190 2190 2190 CF Hrs/Year 1600 1600 1600 1600 1600 FR Hrs/Year 8760 8760 8760 8760 8760 RAC Hrs/Year 1080 1080 1080 1080 1080 WM Hrs/Year 365 365 365 365 365 COM load/Year 1400 1400 1400 1400 1400 WEP Hrs/Year 548 548 548 548 548 [ 6 ] Fig. 4. Energy consumption of BA T/BA U appliances and the corresponding technical energy savings potential. V .K. Singh et al. / Energy 1 49 (20 1 8) 1 022 e 1 035 1 030 (TOFP) follows the same reasoning of G WP and acidi fi cation po- tential and it is pr ovided in tonnes of Non-Methane Volatile Organic Compounds (NMVOC) equi valent (tNMVOCeq). The chosen set of ozone precursors (i.e. NO x , NMVOC, CO and CH 4 ) is aggre- gated into a single indicator , af t er allocating to each speci fi c pollutant the corresponding TOFP: 1  NMVOC; 1 .22  NOx; 0. 1 1  CO (i.e. releasing 1 kg of NMVOC, NO X into the atmosphere is almost eq uiv alent to releasing 1 .22 kg of NMVOC and CO is equi valent to releasing 0. 1 1 kg of NMVOC); 0.01 4 4  CH 4 (i.e. releasing 1 kg CH 4 into the atmospher e is almost equiv alent to rel easing 0.0 1 4 4 kg of NMVOC) [ 76 ]. The appliances with the highest GHG reduction potent ial in 20 1 1 and 2030 are COM, FR, T V, RA C, CF and TFL (see Fig. 7 ). If the replacement of BA U with BA T appliances took place in 20 1 1 , ther e would be no a voided GHG emissions in the starting y ear of the assessment with T V, CF , FR, corresponding to an ov erall increase of 2,87 4,234 tCO2eq in 20 1 1 . However , an overall redu ction of GHG T able 1 3 T echnical energy savings poten tial. Energy consumption Appliance/end-use 2011 2015 2020 2025 2030 GWh/yr GWh/yr GWh/yr GWh/yr GWh/yr BAT TFL 10,197 11,695 13,681 15,664 17,642 EG 300 4, 400 5700 7356 8863 TV 62,238 68,721 83,522 98,064 112,754 CF 21,261 34,320 44,000 77,000 110,000 FR 15,510 24,750 36,300 52,800 69,300 RAC 5, 289 14, 852 35740 73895 84,038 WM 36 448 559 672 784 COM 19,168 30,760 68,217 90,089 112,078 WEP 608 925 3496 4514 5534 BAU TFL 16,994 19,491 22,802 26,106 29,403 EG 360 5280 6840 8827 10,635 TV 116,695 128,851 156,603 183,869 211,413 CF 28,992 46,800 60,000 105,000 150,000 FR 28,200 45,000 66,000 96,000 126,000 RAC 7569 21,254 51,149 105,754 120,269 WM 89 671 1398 1679 1960 COM 31,947 51,267 113,695 150,149 186,797 WEP 1215 1849 6991 9028 11,069 TPS TFL 6798 7796 9121 10,442 11,761 EG 60 880 1140 1471 1773 TV 54,458 60,131 73,081 85,806 98,659 CF 7731 12,480 16,000 28,000 40,000 FR 12,690 20,250 29,700 43,200 56,700 RAC 2280 6403 15,409 31,858 36,231 WM 53 224 839 1007 1176 COM 12,779 20,507 45,478 60,059 74,719 WEP 608 925 3496 4514 55,34 Overall GWh/yr. 97,456 129,595 194,263 266,358 326,553 TWh/yr. 97 129 194 266 326 Fig. 5. A voided electricity costs. Fig. 6. G VA direct, indirect and induced impacts in 20 1 1 and 2030. V .K. Singh et al. / Energy 1 49 (20 1 8) 1 022 e 1 035 10 3 1 [Document text truncated for crawler view.]