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Zero-energy buildings in cities with different climates and urban densities: energy demand, renewable energy harvest on-site and off-site and total land use for different renewable technologies

Dietrich, Udo

Abstract

Zero-energy buildings (ZEBs) have no fossil energy consumption; this is achieved by optimizing the building and balancing the remaining energy needs by renewables. If this energy can be harvested on- site, on the building’s envelope and its estate, a net-ZEB is reached. If supplementary renewable energy has to be produced off-site on compensating land, the ZEB can be reached with such compensating measures (ZEB_CM). Climate and urban density determine how far a ZEB is possible. Temperatures out of comfort range, lack of daylight and overheating by solar radiation may cause energy demand while high insolation or wind speed delivers good preconditions to produce renewable energy on less land. A high urban density avoids urban sprawl and saves land outside of the cities that can be used for other purposes (agriculture and energy production, among others). But, at a certain density, net-ZEB cannot be realized furthermore, and compensating land is necessary. The paper investigates these effects for 15 selected cities around the globe, covering all main climatic conditions. Based on design rules out of literature and own experiences, a prototypical optimized building is derived for each location, and its energy demand is simulated. Standard assumptions for the efficiency of renewable energy systems are used to determine the need of land to cover it. For different urban densities, it can be concluded how far net-ZEB is possible; if necessary, the need for compensating land is calculated. The results show that for cities with moderate climates, the total land use (city plus compensating land) can decrease with increasing urban density if the technology used off-site has high efficiency (like PV). On the other hand, the total land use may increase remarkably with increasing urban density if the used technology off-site has a low efficiency (like the wind for electricity and especially wood pellets for heating). The final understanding is that cities should meet the energy needs on-site by optimized buildings and structures plus renewable energy production (PV on the building’s roofs, geothermal systems, etc.).

Full text

U. Die ich, In . J. o Ene gy P od. & Mgm ., Vol. 6, No. 4 (2021) 335–346 © 2021 WIT P ess, www.wi p ess.com ISSN: 2056-3272 (pape o ma ), ISSN: 2056-3280 (online), h p://www.wi p ess.com/jou nals DOI: 10.2495/EQ-V6-N4-335-346 ZERO-ENERGY BUILDINGS IN CITIES WITH DIFFERENT CLIMATES AND URBAN DENSITIES: ENERGY DEMAND, RENEWABLE ENERGY HARVEST ON-SITE AND OFF-SITE AND TOTAL LAND USE FOR DIFFERENT RENEWABLE TECHNOLOGIES UDO DIETRICH REAP Resea ch G oup (Resou ce E iciency in A chi ec u e and Planning), Ha enCi y Uni e si y Hambu g, Ge many. ABSTRACT Ze o-ene gy buildings (ZEBs) ha e no ossil ene gy consump ion; his is achie ed by op imizing he building and balancing he emaining ene gy needs by enewables. I his ene gy can be ha es ed on- si e, on he building’s en elope and i s es a e, a ne -ZEB is eached. I supplemen a y enewable ene gy has o be p oduced o -si e on compensa ing land, he ZEB can be eached wi h such compensa ing mea- su es (ZEB_CM). Clima e and u ban densi y de e mine how a a ZEB is possible. Tempe a u es ou o com o ange, lack o dayligh and o e hea ing by sola adia ion may cause ene gy demand while high insola ion o wind speed deli e s good p econdi ions o p oduce enewable ene gy on less land. A high u ban densi y a oids u ban sp awl and sa es land ou side o he ci ies ha can be used o o he pu poses (ag icul u e and ene gy p oduc ion, among o he s). Bu , a a ce ain densi y, ne -ZEB canno be ealized u he mo e, and compensa ing land is necessa y. The pape in es iga es hese e ec s o 15 selec ed ci ies a ound he globe, co e ing all main clima ic condi ions. Based on design ules ou o li e a u e and own expe iences, a p o o ypical op imized building is de i ed o each loca ion, and i s ene gy demand is simula ed. S anda d assump ions o he e iciency o enewable ene gy sys ems a e used o de e mine he need o land o co e i . Fo di e en u ban densi ies, i can be concluded how a ne -ZEB is possible; i necessa y, he need o compensa ing land is calcula ed. The esul s show ha o ci ies wi h mode a e clima es, he o al land use (ci y plus compensa ing land) can dec ease wi h inc easing u ban densi y i he echnology used o -si e has high e iciency (like PV). On he o he hand, he o al land use may inc ease ema kably wi h inc easing u ban densi y i he used echnology o -si e has a low e iciency (like he wind o elec ici y and especially wood pelle s o hea ing). The inal unde s anding is ha ci ies should mee he ene gy needs on-si e by op imized buildings and s uc u es plus enewable ene gy p oduc ion (PV on he building’s oo s, geo he mal sys ems, e c.). Keywo ds: compensa ing measu es, di e en clima es, op imized buildings, u ban densi y, ze o-ene gy building. 1 INTRODUCTION Buildings accoun o a conside able sha e o ene gy o hei ope a ion and main enance leading o a signi ican impac on he en i onmen . I is es ima ed ha 30% o he global sha e o ene gy is consumed by comme cial and esiden ial buildings leading o 28% o global emissions (excluding cons uc ion indus y) [1]. The demand o ene gy by buildings is expec ed o show an upwa d end in he coming yea s. Residen ial and comme cial build- ings consume app oxima ely 60% o he wo ld’s elec ici y [2]. Eigh y- wo pe cen o inal ene gy consump ion in buildings was supplied by ossil uels in 2015 (including p ima y ene gy inpu o powe gene a ion; adi ional use o biomass excluded) [3]. The Pa is Ag eemen on clima e change in he yea 2015 cha ed a new cou se in an e o o check global wa ming. Sus ainable measu es owa ds ene gy-e icien and low-ca bon solu ions o buildings and cons uc ion can help achie e he cen al aim o his ag eemen , a ca bon- ee socie y in a ew decades. 336 U. Die ich, In . J. o Ene gy P od. & Mgm ., Vol. 6, No. 4 (2021) The concep o ze o-ene gy buildings (ZEBs) is equi ed o educe ene gy consump ion and b ing down CO2 emission. The ‘Ze o’ e e s o he p ima y (= ossil) ene gy demand o he se ices ha a e necessa y o gua an ee he use ’s com o inside: – Hea ing – Cooling – Elec ici y o a i icial ligh – Elec ici y o mechanical en ila ion ( ans) – Domes ic ho wa e Tha a ge is achie ed by inc easing he e iciency o he building and balance he ene gy needs by enewables ha a e p oduced ei he on-si e o o -si e. Following he de ini ion, i mus be no ed ha use s o a ZEB do no , by a , li e ca bon-neu al! The elec ici y o he use i sel (‘ enan s’ elec ici y’: PC, se e , gadge s, TV), he ene gy o anspo a ion, nu i ion, e c. a e NOT included and may no be consid- e ed negligible. ZEBs can be di ided in o wo classes: a) ne ZEBs and b) ZEBs wi h compensa ing meas- u es (ZEB_CM). The di e ence a ises om he loca ion o enewable ene gy p oduc ion. In case o ne ZEBs, he ene gy demand is co e ed on-si e, wi h sys ems on he building’s en e- lope and/o on he g ound o he own es a e. In case o a ZEB_CM ha ene gy p oduc ion on-si e is no su icien o co e he demand, hus supplemen a y compensa ing land/al e na- i e enewable ene gy sou ces ou side o he own es a e mus be used. Fo a ne ZEB, i mus be s a ed ha he e is a compe i ion be ween he a ea o usage ha has an ene gy demand and he size o he building’s en elope and es a e o p oduce ene gy o co e i . Wi h an inc easing numbe o s o eys, i becomes mo e and mo e di icul o balance he demand ( he oo a ea o he building is he main a ea o enewable ene gy sys ems, i does no inc ease wi h he inc easing numbe o s o eys, he es a e emains he same, e c.). Thus, i can be expec ed ha a ne ZEB is only possible o a ce ain, limi ed numbe o s o eys and u ban densi y. In he o he case, when compensa ing measu es a e necessa y, a ZEB_CM will use enew- able echnologies like PV modules, wind u bines o wood pelle s o ene gy gene a ion on he compensa ing land. The ene gy demand o a building is mainly in luenced by i s loca ion and design; he main aspec s a e clima ic condi ions, u ban densi y, o ien a ion and posi ioning o he building, numbe o s o eys, cons uc ion mass, window o wall a io, dayligh access, na u al en ila- ion s a egy, shading sys em, ai igh ness, he mal insula ion, e c. A second decisi e ques ion is whe he he building’s use s ha e he possibili y o use he building adap i ely by pe sonally adap able he mos a s, ope able windows, shading sys- ems, ligh swi ches, e c. and i hey ha e he chance o adap hemsel es o di e en indoo empe a u es wi h hei clo hing (no d ess code). This pape is based on he hypo hesis ha he be e he building is clima e and use adap- i e, he lesse is i s ene gy demand. 2 SCOPE OF WORK/AIM OF THE PAPER In his s udy, 15 majo ci ies a ound he globe ha ing di e en clima ic cha ac e is ics a e chosen. Ci ies exhibi ing simila clima ic ea u es a e g ouped o ind simila i ies and di e - ences. Reykja ik, Oslo and Hambu g a e in colde loca ions, ha ing empe a u es less han 10°C U. Die ich, In . J. o Ene gy P od. & Mgm ., Vol. 6, No. 4 (2021) 337 o mos o he mon hs and demand hea ing. Chicago and Beijing ha e bo h cold and wa m mon hs and equi e bo h hea ing and cooling. Cai o and Delhi ha e a ho and d y clima e wi h he need o cooling. Singapo e, Da es Salaam, Jaka a and San o Domingo a e ho and humid and need ai -condi ioning almos h oughou he yea . Sydney, San iago, Mexico-Ci y and Addis Ababa belong o a widely com o able ca ego y. Fo hese ci ies, he ollowing esea ch ques ions a e in es iga ed: – Wha is he maximum numbe o s o eys, size o he es a e and u ban densi y o which i is possible o each ne ZEB? – Wha is he need o land o compensa ing measu es o di e en u ban densi ies o ZEB_CM? Wha is he in luence o di e en enewable ene gy echnologies (like PV e sus wind u bines, e c.)? 3 METHODOLOGY This esea ch sums up and gene alizes indings based on a uni e si y’s mas e cou se. Di e - en g oups o in e na ional s uden s wo ked on he di e en ci ies ha ing di e en clima es o ind he sui abili y o ZEBs in hese ci ies. Bo h ne ZEBs and ZEB_CM we e analysed and design s a egies we e adop ed. To acili a e he ask, he s udy is ca ied ou wi h o ice buildings ha a e composed o s anda d o ice ooms. They ha e s anda d condi ions in use and design ha a e easy o desc ibe. O cou se, a majo po ion o he buil -up a ea comp ises esiden ial buildings; i also includes e ails, schools, hospi als and indus ies. Residen ial buildings need less ene gy han o ice buildings; hus i he ZEB o o ice buildings could be achie ed, hen i could also be achie ed o esidences. Fu he mo e, eal u ban si ua ions we e no ega ded since his is oo complica ed. A qua - e o (iden ical) o ice building is assumed, well e lec ing he e ec o educed dayligh access and inc eased elec ici y demand o a i icial ligh i buildings a e nea oge he and shade each o he . I was men ioned ha such mono-use qua e s a e no sus ainable. As he scope o he wo k is o ob ain gene al endencies and compa able esul s wi h simila assump- ions o di e en ci ies wi h di e se clima ic condi ions, i is di icul o conside he eal u ban si ua ion. U ban densi y is exp essed as he plo a io, which is he a io be ween he a ea o usage and he a ea o es a e. 3.1 S anda d o ice oom size and equipmen The s anda d o ice oom is a uni o 168 m2 wi h a dep h o 14 m and a wid h o 12 m, sup- posed o p o ide wo king space o 12 people. This model size could be eplica ed h oughou he whole wid h and heigh o he buildings (wi h supplemen ing s ai s and ele a o s e c.). Each s o ey heigh / loo heigh in he building is 3.2 m. The ime o usage o he building is 11 hou s and 5 days a week which is om mo ning 7 am o e ening 6 pm om Monday o F iday. 3.2 Renewable ene gy p oduc ion 3.2.1 On-si e The he mal ene gy is ob ained by a geo he mal sys em (see sec ion 3.2.3) ha ills in maximum he whole es a e. The coe icien s o pe o mance (COP) o cooling and hea ing 338 U. Die ich, In . J. o Ene gy P od. & Mgm ., Vol. 6, No. 4 (2021) a e 2.5 and 3.5, espec i ely. The size o he sys em de e mines he possible maximal powe o he hea ing o cooling sys em. The elec ici y necessa y o hea pumps, a i icial ligh ing and en ila ion is ecei ed by ha es ing sola ene gy h ough PV panels. Polyc ys alline PV placed la on he oo is used o he analysis. I is assumed ha a su plus can be deli e ed o he g id and a supplemen a y need could eed ou o he g id, hus he a ea o he PV modules is de e mining he annual con ibu ion o he elec ici y demand o he building. Fo a ne ZEB, he desc ibed enewable ene gy sys ems can deli e he whole ene gy demand. I is de e mined up o which numbe o s o eys o he building and up o which building dis ance/u ban densi y ha is possible. 3.2.2 On compensa ing land In case o he assumed numbe o s o eys o he u ban densi ies being highe han he h esh- old o a ne ZEB, a lack o hea and/o elec ici y is caused. To balance i , compensa ing land is needed o accomplish he ene gy demand o he building. Compensa ing elec ici y demand is ob ained om onsho e o o sho e wind u bines o PV modules and supplied o he o ice building. T anspo ing he mal ene gy (hea ) om i s sou ce o gene a ion o he place o in ended use is no p e e ed as i leads o a lo o ene gy losses du ing i s anspo . Hence, anspo o aw ma e ial on-si e o bu n he e o hea ene gy is mo e economical. Wood pelle s a e chosen as a compensa ing measu e o he mal ene gy demand. The e o e, he a ea o compensa ing land depends on he annual ene gy demand as well as on he chosen ype o enewable echnology. 3.2.3 The ene gy densi y o di e en enewable ene gy sys ems Sola adia ion deli e s – depending on he loca ion – a ew hund ed o mo e han 2000 kWh/y ene gy o a squa e me e o ea h’s su ace. Renewable ene gy sys ems ans e a pa o i in o usable ene gy (elec ici y, hea , ma e ial o bu n). Figu e 1 illus a es ha he e i- ciency o his p ocess di e s ema kably om sys em o sys em ( alues based on [4]). Geo he mal sys ems ha e highes e iciency (wi h dis ance) o hea ing and cooling and PV modules o elec ici y. Wind u bines onsho e o o sho e occupy a g ea e amoun o land. Bu i mus be no ed ha in some cases, i is di icul o ha e any o he use (like ag icul u e) apa om PV modules in he land ha is co e ed wi h PV as he land unde PVs is da k and d y. Ag i-PV is an op ion bu , in any case, he e a e wo sys ems, plan s and PV, in compe i- ion o sola ene gy. The land in be ween he wind u bines in a wind a m could be used e ec i ely o o he pu poses. Ene gy plan s hold he lowes ene gy densi y. Ene gy plan s c ea e compe i ion o ag icul- u e o ood p oduc ion and i should be a oided. Wood pelle s a e a by-p oduc o enewable o es y; besides he limi ed p oduc ion, he e is no nega i e impac . These alues gi e he yea ly ha es o enewable ene gy. The sola o e o 953 kWh/m² y and he ha es o PV modules (e iciency abou 15%) e e o he loca ion o Hambu g, Ge many. Fo all o he ci ies unde in es iga ion in his a icle, hese alues a e adap ed o he co esponding sola o e a he chosen loca ion. Da a o wind e e o an a e age wind eloci y o 3 m/s on land and 5 m/s on he sea and a e assumed he same o all loca ions. Own es ima ions show ha he ha es o geo he mal sys ems a ies only sligh ly wi h he empe a u e in he g ound and hus he loca ion. The sys em is assumed as 100 m deep e ical U. Die ich, In . J. o Ene gy P od. & Mgm ., Vol. 6, No. 4 (2021) 339 bo ehole hea exchange s wi h a dis ance o 7 m. Wi h he assump ions ha 1 m o hea exchange can deli e 600 Wh/d he mal ene gy and ha he sys em is unning 6 mon hs a yea (hea ing o cooling season), an ene gy densi y o 223 kWh/m² y can be de i ed. This alue is only calcula ed o ha e a ough imp ession o he po en ial o geo he mal sys ems in compa i- son o he o he sys ems ha a e included in Fig. 1. O cou se, he eal po en ial o he geo he mal sys em will be di e en o di e en loca ions. I is calcula ed on a daily basis compa ing he daily hea ing/cooling demand and he maximal capaci y o he geo he mal sys em. 3.3 The in e na ional s yle oom In a i s s ep, he s anda d o ice oom was assumed as ealized in common a chi ec u e, as an ‘in e na ional s yle’ oom: – N-S o ien a ion – Fully glazed and sealed acades wi h double hea p o ec ion glazing – In e nal shading sys em – Ai -condi ioning (26°C), mechanical en ila ion and a i icial ligh du ing he whole ime o usage I s ene gy demand o all he 15 loca ions was simula ed wi h P ime o-Com o [5], a an- sien simula ion so wa e. Resul s show ha o all loca ions, mo e o less, i is no possible o each a ne ZEB wi h a sa is ying u ban densi y; i such a densi y is assumed, he esul ing need o compensa ing land would be immense. Tha deli e ed con ic ion and mo i a ion ha he oom should be op imized and adap ed o he clima e o educe i s ene gy hunge and o imp o e he chances o each a ne ZEB o a ZEB_CM wi h sa is ying condi ions. Figu e 1: Ene gy densi y o di e en enewable ene gy sys ems. Da a o sola o e and esul ing ha es o PV e e o Hambu g, Ge many. The alue o geo he mal is jus o show he dimension o compa ison. 340 U. Die ich, In . J. o Ene gy P od. & Mgm ., Vol. 6, No. 4 (2021) 3.4 Op imiza ion o he s anda d o ice oom o a clima e adap i e one To ind he way o an op imized and adap i e building, se e al sou ces we e used: – Clima e consul an so wa e [6] is used o unde s and he empe a u es, sun shading, sky co e a io, wind eloci y and humidi y. – Design s a egies we e de i ed based on he ules gi en by he cou se supe iso s and hose om he clima e consul an . – Ve nacula a chi ec u e and bes p ac ice examples. – Also, he opinions and sugges ions o he s uden s om hese loca ions we e conside ed. Fi s ly, based on he clima ic condi ions, i was o be decided which mon h o a yea he building can un in which o he ollowing modes: – Adap i e: Indoo com o can be main ained wi h only na u al en ila ion and hea ing. I is assumed ha a building can be un adap i ely i he mon hly mean alues o ou doo empe a u e lie be ween 10 and 23°C. Ci ies like Addis Ababa, Mexico-Ci y, Sydney and San iago ha e a high po en ial o be un he whole yea adap i e. – Ai -condi ioned: Indoo com o can be main ained only wi h mechanical en ila ion and cooling. I is assumed ha a building can be un only ai -condi ioned i he mon hly mean alues o he ou doo empe a u e is abo e 23°C o a oid indoo empe a u es ou o he com o ange. Singapo e which has a ho and humid clima e wi h an a e age yea ly empe a u e o 27°C uses ai -condi ioning o 12 mon hs o he yea . San o Domingo, Jaka a and Da Es Salaam also need ai -condi ioning nea ly h oughou he yea . – Hea ing: Indoo com o can be main ained only wi h hea ing and mechanical en ila- ion wi h hea eco e y o educe ene gy demand. I is assumed ha a building can be un only in his mode i he mon hly mean alues o ou doo empe a u e lie below 10°C. Reykja ik, Oslo, Chicago, Beijing and pa ly Hambu g ha e such s ong win e pe i- ods. Bu he e is no loca ion whe e ha mode is necessa y o he whole yea . – Hyb id: Indoo com o can be main ained seasonal by unning he building adap i ely, wi h ai -condi ioning o hea ing. Buildings could adap o he su oundings o a ew mon hs and depend on cooling o hea ing and mechanical en ila ion o he es . Chicago is he bes example; i can be adap i e o 6 mon hs and needs mechanical en ila ion/hea ing o he es o 6 mon hs o he yea . Hambu g and Beijing also lie in he ca ego y o hyb id. Finally, he a chi ec u e could be adap ed o he chosen modes (Fig. 2): – Adjus men ( educ ion) o oom dep h o be e na u al c oss en ila ion (i o ad an- age – loca ions wi h weak wind eloci ies) while e aining he a ea o usage o 168 m² (an inc ease o oom wid h). – Reduc ion o he window o wall a io in a way ha o e hea ing p o ec ion and dayligh access is in good symbiosis. The a io o loca ions wi h a dominan cloudy sky is abou 50%, and o a dominan clea sky, i is 35%. U. Die ich, In . J. o Ene gy P od. & Mgm ., Vol. 6, No. 4 (2021) 341 – Con enien (ex e nal) shading sys em, glazing and he mal insula ion. – In elligen size and placemen o (ope able) windows o dayligh and na u al en ila- ion. – Na u al en ila ion s a egy, especially o nigh cooling. – A i icial ligh can be swi ched o i dayligh is su icien (500 lx). These ooms we e p esen ed a he end o he uni e si y cou se and hen u he de eloped by he au ho o gua an ee ha hey a e op imized o all loca ions a a co esponding le el. Finally, he ene gy demand o hese ooms was simula ed wi h he same so wa e. 4 RESULTS 4.1 CO2 educ ion po en ial o op imized buildings Figu e 3 gi es an o e iew o he possible educ ion po en ial in p ima y ene gy (p ima y ene gy ac o o hea ing 1.1, o elec ici y 3.0) be ween an in e na ional s yle building and a building ha is op imized and adap i e. I can be seen ha he po en ial (and hus he educ- ion o CO2 emission!) is eno mous. I is also e iden om Fig. 3 ha he educ ion po en ial is di e en o di e en loca ions. I cooling demand is caused by sola hea gains, i can be educed (o b ough o ze o, Hambu g, Oslo, Sydney) by a chi ec u al means. I i is caused by empe a u es abo e he com o ange, a chi ec u al means can ha dly help, and cooling is necessa y (Jaka a, Delhi, e c.). I he loca ion is a om he equa o , he e a e many hou s o usage whe e i is da k ou side – he demand o a i icial ligh canno be educed (Reykja ik, Oslo, e c.). Figu e 2: Examples o in e na ional s yle ( o ind in any ci y) e sus op imized and adap i e buildings o di e en loca ions and clima es (s uden s wo k). 342 U. Die ich, In . J. o Ene gy P od. & Mgm ., Vol. 6, No. 4 (2021) To deli e a ai compa ison, i is assumed ha he op imized building has mechanical en ila ion and is cooled oo (i necessa y). He e is u he op imiza ion po en ial; buildings can o en be un in adap i e mode (see sec ion 3.4) and wi hou mechanical en ila ion. 4.2 Maximal u ban densi y (plo a io) o ne ZEBs in he chosen ci ies I can be calcula ed up o which u ban densi y (plo a io), ne ZEB is possible o he di e - en loca ions. The p e equisi e ha he ene gy demand mus be co e ed by enewable ene gies gained on si e se s wo limi s: – The yea ly ha es o a PV module sys em on he building’s oo can co e he elec ic- i y demand (mechanical en ila ion, a i icial ligh , hea pump) o a ce ain numbe o s o eys. – A bo ehole hea exchange sys em in he g ound can deli e a ce ain amoun o powe o hea ing o cooling. Wi h i , he hea ing and cooling demand o a ce ain numbe o s o eys can be co e ed. Fo he calcula ion, a building dis ance o 20 m is assumed, which co esponds o a ypical and ealis ic s ee wid h. F om his assump ion and he size o he es a e, he size o he geo he mal sys em can be de e mined. In case i is in- su icien and he e is a ese e in he PV elec ici y p oduc ion, s anda d chille s (COP = 1.5) a e u he assumed un il he PV sys em is exhaus ed. The dominan o he wo c i e ia decides abou he maximal numbe o s o eys. The esul - ing u ban densi y can be inally calcula ed. Figu e 4 shows he esul s. Figu e 3: Compa ison o he p ima y ene gy demand o in e na ional s yle and op imized building. U. Die ich, In . J. o Ene gy P od. & Mgm ., Vol. 6, No. 4 (2021) 343 F om Fig. 4, i is no iceable ha Reykja ik has he lowes plo a io 0.8 which e lec s un a ou able condi ions p e ailing in he ci y: a s ong win e causing high hea ing demand, ex ended imes o da kness causing demand o a i icial ligh and oge he wi h he mechan- ical en ila ion leading o high elec ici y demand – on he o he hand, i has he lowes sola adia ion and he sun posi ion ha dly abo e he ho izon ha esul s in a e y low ha es wi h PV modules on he oo . The highes possible plo a io o 3.4 is shown by Addis Ababa which has a mode a e cli- ma e. A mode a e clima e equi es nea ly no he mal ene gy o hea ing o cooling, dayligh in he whole ime o usage, no mechanical en ila ion leading o a minimal elec ici y demand ha can easily be co e ed wi h he PV sys em on he oo ecei ing a high amoun o sola adia ion. I is no ed ha he loca ions wi h simila clima es show also simila esul s he e. O , ice e sa, he local clima ic condi ions de e mine he chances o each bo h, ne ZEB and a highe u ban densi y. 4.3 Need o compensa ing land o ZEB_CM o selec ed u ban densi ies (plo a io) o he chosen ci ies I he planned u ban densi y exceeds he limi o ne ZEB, supplemen a y compensa ing land o enewable ene gy p oduc ion is necessa y. Tha land mus be loca ed ou side he ci y (o on he sea in case o o sho e wind u bines). I mus be e alua ed p ecisely i and whe e ha is a ailable. Compe i ion be ween ene gy and ood p oduc ion mus be a oided. On he o he hand, a ci y wi h a high u ban densi y a oids u ban sp awl and sa es land; a compac ci y has sho dis ances and sa es ene gy o anspo a ion. The bes combina ion o each loca ion mus be ound by balancing all impac s. Figu e 4: Maximal u ban densi y (plo a io) o ne ZEB o he chosen ci ies.