• 검색 결과가 없습니다.

Site Suitability Assessment for Installing Photovoltaic Systems using Fisheye-lens Camera and SOLPOS Calculator

N/A
N/A
Protected

Academic year: 2021

Share "Site Suitability Assessment for Installing Photovoltaic Systems using Fisheye-lens Camera and SOLPOS Calculator"

Copied!
10
0
0

로드 중.... (전체 텍스트 보기)

전체 글

(1)

ઘੲߓலಉࡔޭ૕40-104ծॺ׆ࠜଲ૳෉

೾ઑֈࢳୢਏਆഗऀ஺ୡ෍নඌԧ

৉஼ઽ



 ౖ૬০



 ୨ઽ૵



 ହ׊୍



 ࢮ෮ন



Site Suitability Assessment for Installing Photovoltaic Systems using Fisheye-lens Camera and SOLPOS Calculator

Jinyoung Song, Yosoon Choi , Young-Wook Cheong, Gil-Jae Yim and Hyn-Sung Park

Abstract : This study performed a site suitability assessment for installing photovoltaic (PV) systems at the Samma-taejung mine water treatment facility. A fisheye-lens camera (Solmetric’s SunEye210) and the SOLPOS calculator developed by National Renewable Energy Laboratory (NREL), USA were used to quantitatively evaluate the suitability of four candidate points for PV installations. Three indices including SA (Solar Access), TOF (Tilt and Orientation Factor) and TSRF (Total Solar Resource Fraction) were calculated at the four candidate points (Points 1-4). As a result, we could know that Point 2 has higher TSRF (81%) than other three candidate points.

Although Point 3 has the highest SA, its TSRF is lower than that of Point 1 due to terrain gradient. Therefore, it is recommended that Point 2 is the most suitable location to install PV systems in the study area.

Key words : Photovoltaic systems, Site suitability assessment, Mine water treatment, Fisheye-lens

څ أ ٍ҆ĵقԴəԘυࢗ܁ġԓѕսٍۙ܁জ֨ԺںʂԜڷͿࢗتġьۻ֨֟ࢰҙݓۺ०ՁथÀε

սॱॠٕɰ. ࢗتġьۻ֨֟ࢰԺ࠘঳҃ݓۆۺ०Ձں܁͟ۺڷͿथÀॠşڦ३йĶSolmetricقԴÒьॢ

ر؋ͬ݋ࠢϭ͆(SunEye210)εԐڌॠيSA(Solar Access) ݓսεԓ܁ॠٕČ, йĶ֪ۦԦقȃݓٍĵՙقԴ

ÒьॢSOLPOS ćԓşεԐڌॠيTOF(Tilt and Orientation Factor)εԓ܁ॠٕɰ. ̚ॢ, SAٮTOFεۋڌॠي

TSRF(Total Solar Resource Fraction)εćԓॠٕɰ. ٍĵݓًقԴ4Òۆ঳҃ݓ۾ںԸ܁ॠيқԵںսॱॢ

Āę2ѥ঳҃ݓ۾ۋTSRFÀ81%ͿÀۤȭóԓ܁ʼؽɰ. 3ѥ঳҃ݓ۾ڹSAəȭؕڷǣ܁ǫॳԺ࠘ÀرͲ ڏݓ঍ܓæڷͿۍ३TSRFəԜʂۺڷͿǰؕɰ. ˰͆ԴٍĵݓًقԴə2ѥ঳҃ݓ۾قࢗتġьۻ֨֟ࢰ ںԺ࠘ॠəìۋÀۤۺ०ॢìڷͿࣺɳʽɰ.

ܳڅر  ࢗتġьۻ֨֟ࢰ, ҙݓۺ०ՁथÀ, ġԓѕսߌν, ر؋ͬ݋

2013ț10ښ4ێۿս, 2013ț11ښ8ێ֮ԐٰΒ 2013ț12ښ12ێóۦঝ܁

1) ҙąʂॡİقȃݓۙڙėॡę 2) ॢĶݓݗۙڙٍĵڙݓݗۦ३ٍĵ֬

3) ॢĶġ३ěνėɳşցٍĵՙ

*Corresponding Author(߯څտ)

E-mail; [email protected], [email protected]

Address; Dept. of Energy Resources Engineering, Pukyong National University, Busan, Korea

ISSN 2288-2790(online) http://dx.doi.org/10.12972/ksmer.2013.50.6.789

Դ΁

ۻՃćۺڷͿࢗتَ, ࢗتġ, ॄͳ, սͳ, ݓَ, ܓͳ,

ࣷͳ, цۋ١ϔ֟ˣݓ՚ÀɠॠČ, ঞąࠚজۺۍۦԦ قȃݓşց˞ۋψڹٍĵۙ˞قۆ३ÒьʼČەڷ

϶, ԓغۻқآقԴġѩڦॠóটڌʼČەɰ(Choi et al., 2011; Song and Choi, 2012). ġغқآقԴə߯Ŗ

˞ر١ݓ(३؋ۋǣʪ֨قԴϥν̆رݕǴΫۆŪվ

ॢ˸) ̚əŕݓقԴÀॱġԓۆۻͳսśЛ܃ε३ ĀॠČ, दġԓݓًۆѣͲݕҙݓεটڌॠيʂߕԓ غںگՁॠşڦ३ۦԦقȃݓşց˞ۋইۤقʪۓʼ Čەɰ(Choi, 2013). ĶǴۆąڍقəԵė֪Ձ, Եė॥

і, Եė॥ࢗġԓѕսսݗ܁জ֨ԺˣॢĶġ३ěνė ɳقԴڏٖॠČەəġ३ѓݓ֨Ժ˞ںܼ֮ڷͿࢗت ġьۻşցںইۤقʪۓॠيটڌॠČەڷ϶, ġ३ ѓݓ֨ԺقԴࢗتġьۻşցۆটڌڹॳ঳قʪݓ

՚ۺڷͿ ঝԓʾ ìۋ͆ ٚࠑʽɰ(Choi, 2013).

ࢗتġьۻ֨֟ࢰڹъʪߕ, ّΒ, ČқۙˣۆНݗ

ٍĵȦЛ

(2)

ͿۋΘرݕࢗتۻݓεۋڌॠيࢗتقȃݓεݔۿۻ şقȃݓͿѺঞॣսەəۤ࠘ۋɰ. Ҽİۺ֨ėۋÂ ठॠ϶, Иۍ֨֟ࢰڷͿۚʴۋÀɠॠş˺Лق֨֟ࢰ

ڏٖфڮݓěνقज़څॢÁܛҼڌں߯ՙজॣս

ەəۤ۾ۋەɰ. Ŕ͠ǣࢗتġьۻ֨֟ࢰۋ२Ԝş ʂ॰ʏìχࢂۆۻͳںԦԓॣսەəìڹ؉ɦɰ. ࢗ تġьۻ֨֟ࢰۋԺ࠘ʽۤՙۆڦʪ/ąʪӼχ؉ɦ

͆ćۼۺۍş঳Ѻজ, ࢗتġःȇۆ֨ėѓѪ, ܳѺۆ

ԓ, æН, ǣИˣۆսġؙۤڅۍ˞قۆॢŔρۙ, Ԟ ۆқҼНۋǣডԐˣɰتॢ࣢Ձ˞ۋьۻমڱęۻͳ

Ԧԓ͟قٖॳںܶսەş˺Лۋɰ(Galli and Hoberg, 2009). ߯Ŗس΁҃ʪεࣀ३ՙÒʽ‘ԸॄşʪЇʮν əࢗتġьۻ֨֟ࢰ(http://durl.me/5ky3ki)’ۆԐͻə

Ժ࠘঳҃ݓۆۺ०ՁथÀػۋࢗتġьۻ֨֟ࢰں

Ժ࠘॰ںąڍقǣࢍǨսەəЛ܃۾ں҃يܵɰ. ܳ

޲ۤěνҙ֟ڦق80 W ڌ͟ۆࢗتġьۻ֨֟ࢰ ںԺ࠘॰ڷǣÀͿս؉͒قڦ࠘ॠČەر֬܃ۻͳ

Ԧԓ͟ڹ20 W ܁ʪͿ̆ر܋40 Wۆۻͳۋज़څॢ

ԸॄşεʮνݓЇॠəìۋɰ. ۋٮÏڹЛ܃ۆьԦ ںԐۻقѓݓॠşڦ३Դəࢗتġьۻ֨֟ࢰۆԺ

࠘قؘԴԺ࠘঳҃ݓۆۺ०ՁںथÀॠəìۋϔڍ

ܼڅॠɰ.

ࢗتġьۻ֨֟ࢰԺ࠘঳҃ݓۆۺ०Ձں܁͟ۺڷ ͿथÀॣ˺ێъۺڷͿEq. (1)-(3)ęÏڹՃÀݓݓ ս˞ۋ Ԑڌʽɰ(Galli and Hoberg, 2009).

¬šÞÜß á ć

¢ƒƍƒſƊ

¢ƌƍƌ ƑƆſƂƃƂ

Z Î×× (1)

­¨ŸÞÜß á ć

¢ƍƎƒƇƋſƊ

¢ſƁƒƓſƊ

Z Î×× (2)

­¬«ŸÞÜß á ć Î××

¬šZ­¨Ÿ (3)

SA(Solar Access, %)əࢗتġःȇ(panel)قۓԐॣս ەəۻߕࢗتێԐ͟(¢ƒƍƒſƊ, kW/m2) ܼܳѺۆսġۤ

ؙڅۍ˞قۆॢŔρٖۙॳںыݓ؍ڹࢗتێԐ͟

ƌƍƌ ƑƆſƂƃƂ, kW/m2)ۆҼڱںǣࢍǶɰ. ݌, ܳѺقսġ

ؙۤڅۍ˞ۋܕۦॠݓ؍؉ԴࢗتġःȇशϸقŔρ

ۙÀ঍Ձʼݓ؍əɰϸSAə100%ۋ϶, ࢗتġःȇ

शϸێҙقŔρۙÀ঍ՁʽɰϸSAə100%҃ɰۚ؉

ݕɰ. ࢗتġःȇۻߕÀŔρۙقÀͲ܋ࢗت҄Ԑق ȃݓε ыݓ Їॢɰϸ SAə 0%À ʽɰ.

TOF(Tilt and Orientation Factor, %)əࢗتġःȇۋ

߯ۺۆąԐٮѓॳڷͿԺ࠘ʼؽں˺ۓԐॣսەə

ࢗتێԐ͟(¢ƍƎƒƇƋſƊ, kW/m2)ںşܵڷͿ, ইۤقԴ֨ė

ܓæۆ܃أڷͿۍ३ࢗتġःȇۋ߯ۺۆąԐٮѓ ॳڷͿԺ࠘ʼݓЇ॰ں˺(݌, ֬܃Ժ࠘ܓæ) ۓԐॣ

սەəࢗتێԐ͟(¢ſƁƒƓſƊ, kW/m2)ęۆҼڱںǣࢍǶ ɰ. ࢗتġःȇۋ߯ۺۆąԐٮѓॳڷͿԺ࠘ʾսە ɰϸTOFə100%Ϳԓ܁ʼ϶, ইۤقԴۆ֨ėيæۋ

ܞݓ Їॣս΀ TOFÀۚ؉ݕɰ.

TSRF(Total Solar Resource Fraction, %)ڹSAٮTOF εĕॢ঳іқڱͿঞԓॢݓսۋɰ. ˰͆ԴTSRFε

ۋڌॠϸࢗتġьۻ֨֟ࢰҙݓۆۺ०Ձںսġۤ

ؙڅۍę֨ėܓæࠑϸقԴܛ०ۺڷͿथÀॣսە ɰ. TSRFÀ 100%ۍ ąڍࢗت ێԐ͟ۋ ࢗتġьۻ

֨֟ࢰۆۻͳԦԓںڦ३Ͽ˃টڌʾսەɰəìں

ۆйॠ϶, TSRFÀۚ؉ݗս΀սġؙۤڅۍ˞ۋǣ֨

ėԜۆ܃أܓæ˞Ϳۍ३ࢗتġьۻ֨֟ࢰۋŔݓ

ًۆࢗتێԐ͟ں߿қ০টڌॣսػɰəìںۆй

ॢɰ.

҆ȦЛقԴəԘυࢗ܁ġԓѕսٍۙ܁জ֨Ժںٍ

ĵݓًڷͿԸ܁ॠيࢗتġьۻ֨֟ࢰҙݓۺ०Ձ

थÀεսॱॢԐͻٍĵĀęε܃֨ॢɰ. ر؋ͬ݋ࠢ

ϭ͆(fisheye-lens camera)εۋڌॠيSAεࠑ܁ॠČ, йĶ

֪ۦԦقȃݓٍĵՙ(National Renewable Energy Laboratory, NREL)قԴÒьॢSOLPOS ćԓş(http://www.nrel.gov/

midc/solpos/solpos.html)εۋڌॠيTOF Éںćԓॢ

ɰ. ߯ܛۺڷͿTSRF ݓսεԓ܁ॠيٍĵݓًقԴࢗ

تġьۻ֨֟ࢰԺ࠘঳҃ݓۆۺ०ՁںथÀॠČ, ঳

҃ݓܼÀۤڮνॢԺ࠘ݓ۾ںԸ܁ॠəìںЀशͿ

ॢɰ.

ࢗتġьۻ֨֟ࢰҙݓۺ०ՁथÀѓѪ

ر؋ͬ݋ࠢϭ͆εۋڌॢSolar Access ԓ܁ѓѪ

ٍ҆ĵقԴəࢗتġьۻ֨֟ࢰԺ࠘঳҃ݓۆSA ε܁͟ۺڷͿԓ܁ॠşڦ३йĶSolmetric(www.solmetric.

com)قԴÒьॢر؋ͬ݋ࠢϭ͆(SunEye210)εԐڌ ॠٕɰ. SunEye210 ۤҼəر؋ͬ݋, ˥ݓࢥࠢϭ͆, ۻ

ۙąԐćф࠻ऎ֟, GPS(Global Positioning System), Windows CE ڏٖߕ܃şъۆϿцێ࠻ौࢢ, ࠺ؚ͠

܁˥֟॔ͪۋͿĵՁʼرەڷ϶ॢ՜ق˞Čɰɩս

ەəࡾşۋɰ(Fig. 1(a)). ر؋ͬ݋͈ŕɳۺۍġÁম ę(ٖ߭Áۋ180° ۋԜ)εǣࢍǴəͬ݋ͿԴߣ۾äν ÀŕʪͿݥɰ. ˰͆Դر؋ͬ݋ࠢϭ͆Ϳٖ߭ʽٖԜ

(3)

(a) (b)

Fig. 1. (a) View of the Solmetric SunEye210 fisheye-lens camera (b) Example of image captured from a fisheye-lens camera(http://www.eso.org/public/images/potw1049a/).

ڹНČşɂڷͿԐНںप޳ॢìߌͤ360° ڙ঍ڷͿ

ǣࢍǦɰ(Fig. 1(b)).

ر؋ͬ݋ࠢϭ͆(SunEye210)εۋڌॢSA ࠑ܁ѓѪ ڹ 4ɳćͿĵқʽɰ.

1) ڦ࠘ܟशԺ܁: SA ࠑ܁ݓ۾ۆڦ/ąʪܟशεş

΀ॠşڦ३ǴۤʼرەəGPSεۚʴ֨ࢅäǣ

ԐڌۙÀ ݔۿ ܟशε ۓͳॣ ս ەɰ.

2) Sky type Ժ܁: ر؋ͬ݋ࠢϭ͆Ϳٖ߭ʽٖԜۆ

ۻߌνѓѪقʂ३Ժ܁ॢɰ. ێъ(normal), ĵζ

ф ޻ė(clouds and blue sky), Ŕρۙ ąć Ìܓ (shaded) Ͽ˚ܼॠǣεԸ࢘ॣսەɰ. ĵζф

޻ėϿ˚εԸ࢘ॠϸٖ߭ʽٖԜقԴȃИэä ǣرˈóशইʽĵζۋǣݕߔԟۆॠɚۋæН, ǣИˣęÏڹսġؙۤڅۍ˞Ϳ۞ЇқΪʼݓ

؍ʪ΀३ɾҙқۆԟԜں҃܁ॠəۚغںսॱ

ॢɰ. ̚ॢ, ŔρۙąćÌܓϿ˚εԸ࢘ॠϸǣ ТÀݓٮÏۋÀɚČš঍ࢗۆսġؙۤڅۍ˞

قʂॢąćԸںÌܓॠəߌνۚغںսॱॠي

ٖԜقԴ҃ɰমęۺڷͿսġؙۤڅۍ˞ں࢒

ݓॣ ս ەɰ.

Fig. 2əՃÀݓԴͿɰδSky type Ͽ˚Ϳٖ߭ʽ

ر؋ͬ݋ٖԜں҃يܵɰ. Fig. 2(a)ۆێъϿ˚ٖ߭

ٖԜęFig. 2(b)ۆĵζф޻ėϿ˚ٖٖ߭ԜںҼİ ॠϸܟࠑڙ঍ҙқقԴ޲ۋ۾ں҇սەɰ. ێъϿ˚

ٖԜقԴəݕߔԟۆॠɚۋսġؙۤڅۍڷͿ۞Ї

қΪʼؽڷǣĵζф޻ėϿ˚قԴə٤цβó҃܁ʼ رەəìںঝۍॣսەɰ. ŔρۙąćÌܓϿ˚ۆ

মęəFig. 2(c)ۆ١δޅԐÁ঍ҙқقԴঝۍॣս

ەɰ. Fig. 2(b)ۆĵζф޻ėϿ˚ٖٖ߭ԜقԴսġ

ؙۤڅۍڷͿқΪʼݓ؍ؕʏԐÁ঍ҙқۋFig. 2(c) ۆĀęقԴəսġؙۤڅۍڷͿ٤цβóқΪʼə

ìں҇սەɰ. ˰͆Դٖ߭ݓ۾ۆইۤԜডق˰͆

ۺۼॢٖ߭Ͽ˚εԸ࢘ॠəìۋ҃ɰ܁ঝॢSA ԓ܁

ں ڦ३ ϔڍ ܼڅॠɰ.

3) Skyline ٖ߭: ǴۤʼرەəąԐćٮ࠻ऎ֟Ϳҙ ࢢ ࠑ܁ʼə ąԐÁę ѓڦÁ ܁҃ε জϸԜقԴ

ঝۍॠϸԴąԐÁ0°, ѓڦÁ180°(ǫъĵقԴə

0°)ͿԺ܁ʼؽں˺ՌࢢεɄٖ͠Ԝںٖ߭ॢɰ.

SunEye210 ۤҼۆąԐÁфѓڦÁԺ܁١޲ə

±5° ۋǴÀۺۼॠ϶١޲ÀŔۋԜۍąڍقə

ɰٖ֨߭३آॢɰ(Solmetric Corporation, 2011).

ǴۤʼرەəąԐćٮ࠻ऎ֟əܳѺۆۙşۤق

лÇॠó ъڿॠş ˺Лق ٖ߭ ݓ۾ق ۙşۤں

(4)

(a) (b) (c)

Fig. 2. Fisheye-lens images captured by using three different modes (a) Normal (b) Clouds and blue sky (c) Shaded.

(a) (b)

Fig. 3. Fisheye-lens images with the Sun path chart (a) without and (b) with a manual adjustment.

ԦՁॣ սەə НߕÀܕۦॣ ąڍقəۙşۤۆ

ٖॳںыݓ؍əݓ۾ڷͿۋʴॠيٖ߭३آॢɰ.

4) SA ԓ܁: ٖ߭ʽر؋ͬ݋ٖԜںқԵॠيɰڼ ęÏۋSAεԓ܁ॢɰ. ࠑ܁ݓ۾ۆڦ/ąʪܟश εъٖॠيćԓʽࢗتۆňۺ(sun path) ޲࣡À

ر؋ͬ݋ٖԜڦقܼߑʼرşşۆজϸԜقǣ

ࢍǦɰ. ̚ॢ, ٖԜڷͿҙࢢսġؙۤڅۍ˞ۋۙ

ʴڷͿ֩ѻʼرজϸقǣࢍǦɰ. χأ, ࠑ܁ݓ۾

قԴࢗتġьۻ֨֟ࢰۋŔρۙۆٖॳںۻঅ

ыݓ؍əɰϸܼߑʽࢗتňۺ޲࣡Ԝقսġۤ

ؙڅۍ˞ۋǣࢍǣݓ؍ڷ϶ۋ˺ۆSAə100%Ϳ

ԓ܁ʽɰ. ъϸ, ࢗتġьۻ֨֟ࢰۋŔρۙۆٖ

ॳںыəɰϸࢗتňۺ޲࣡ԜقŔρۙۆڙۍ ۋʼəսġؙۤڅۍ˞ۋश֨ʽɰ. ۋ͠ॢڙ νقۆ३ࢗتňۺ޲࣡قԴ սġؙۤڅۍۋ

ǣࢍǣəҙқں܃ٽॢǣϢݓًٖۆϸۺںۻ ߕࢗتňۺ޲࣡ۆϸۺڷͿǣɂ঳іқڱͿঞ ԓॠيSAεԓ܁ॣսەɰ. ر؋ͬ݋ٖԜڷͿ

ҙࢢۙʴڷͿ֩ѻʽսġؙۤڅۍ˞ق١ΪÀ

ەəąڍقəԐڌۙÀսʴڷͿսġؙۤڅۍ

֩ѻĀęεս܁Àɠॠɰ. ٚε˞ر, Fig. 3(a)ٮ

Ïۋࠑ܁ۙۆ֪ߕێҙÀر؋ͬ݋ٖٖ߭Ԝق

प॥ʼرսġؙۤڅۍڷͿ֩ѻʽąڍقəFig.

3(b)ٮÏۋս܁ॠيSA ԓ܁֨ъٖʼݓ؍ʪ΀

ॣ ս ەɰ.

SOLPOS ćԓşεۋڌॢTilt and Orientation Factor ԓ܁ѓѪ

ٍ҆ĵقԴəČ܁঍ڷͿԺ࠘ʽࢗتġьۻ֨֟ࢰ ںşܵڷͿTOFεԓ܁ॠٕɰ. ҃ś঍ࢗتġьۻ֨

֟ࢰقԴࢗتġःȇۆČ܁঍Ժ࠘ѓ֩ۋێъۺڷͿ

ԐڌʼČەş˺Лۋɰ. ۋ΁ۺڷͿČ܁঍ࢗتġःȇ शϸق ֬܃ ʪɵॠə ێԐ͟(¢ƎſƌƃƊ, kW/m2)ڹࢗتġ

ःȇۋԺ࠘ʽܓæ(ąԐÁ, ѓڦÁ)ق˰͆ɰڼęÏۋ

ԓ܁ॣ ս ەɰ(Honsberg and Bowden, 2013).

(5)

Fig. 4. Web version of the NREL SOLPOS calculator (www.nrel.gov/midc/solpos/solpos.html).

Fig. 5. Aerial view of the study area. Four candidate points (1-4) were selected for site assessment (image source:

Daum map, http://map.daum.net).

¢ƎſƌƃƊᢃƍƒſƊZ ㊖šķ Z š•ĸ Z Š–šÞō à ľßâ (4)

š•ķ Z Š–šĸ ä

يşԴķəࢗتۆČʪÁ(sun elevation angle), ĸəः

ȇۋԺ࠘ʽąԐÁ(panel title angle), ōəःȇۋԺ࠘

ʽѓڦÁ(panel orientation angle), ľəࢗتۆѓڦÁ (sun azimuth angle)ںۆйॢɰ. ķٮľə֨Â, ćۼق

˰͆ ݓ՚ۺڷͿ Ѻজॢɰ.

ێъۺڷͿҚъĵقԴə ōÀ180°(ǫॳ), ĸÀԺ࠘

ݓ۾ۆڦʪͿԺ࠘ʼؽں˺Č܁঍ࢗتġьۻ֨֟ࢰ ۋ߯ۺۆՁɠں҃ۋəìڷͿ؎Ͳ܋ەɰ(Honsberg and Bowden, 2013). ˰͆Դۋ͠ॢѓڦÁ, ąԐÁԺ࠘

ܓæقԴEq. (4)قۆ३ԓ܁ʼə¢ƎſƌƃƊ ÉڹTOF ԓ܁

֨ज़څॢ¢ƍƎƒƇƋſƊ Éںۆйॠóʽɰ(Eq. (2)). χأ, ই

ۤۆݓ঍, Àڌҙݓۆ঍ࢗˣۆيæق˰͆Č܁঍ࢗ

تġьۻ֨֟ࢰں߯ۺѓڦÁ, ąԐÁܓæڷͿԺ࠘

ॠşرͲڐąڍقə ō, ĸ É˞ۋɵ͆ݗսەڷ϶

ۋ˺ԓ܁ʼə¢ƎſƌƃƊ Éڹ¢ſƁƒƓſƊͿԴTOF ԓ܁֨Ԑڌ ʽɰ(Eq. (2)).

҆ ٍĵقԴə йĶ ֪ۦԦقȃݓٍĵՙقԴ Òьॢ

SOLPOS ćԓş(Fig. 4)εۋڌॠي¢ƍƎƒƇƋſƊ, ¢ſƁƒƓſƊÉں

ॢ֨ÂɳڦͿćԓॢ঳Eq. (2)قʂۓॠيTOFεԓ

܁ॠٕɰ. SOLPOS ćԓşəࢗتġьۻ֨֟ࢰۋԺ

࠘ʾݓ۾ۆڦʪٮąʪεۓͳॠϸ֨ÂɳڦͿࢗتۆ

ČʪÁęѓڦÁںćԓ३ܳ϶, ࢗتġःȇۆąԐÁę

ѓڦÁ܁҃ε߸ÀͿۓͳॠϸEq. (4)ق˰͆¢ƎſƌƃƊ É ں ॢ֨ÂɳڦͿćԓ३ܵɰ. ٍ҆ĵقԴə֨Âɳ ڦͿćԓʽTOF É˞ںࣀćۺڷͿқԵॠيٍथŒ

TOFٮ1ښҙࢢ12ښūݓۆښथŒTOFεԓ܁ॠٕɰ.

ٍĵݓًфࠑ܁ݓ۾

ٍĵݓًڹÌڙʪԘߍ֨ʪćڽۋڦ࠘ॠČەəԘ

܁࢏ġقԴə1962ț2ښҙࢢ1992ț12ښūݓأ30 țÂԵ࢏ں޽Ĺॠٕɰ. ۋ঳ÚǴսߌνεڦ३ٍۙ

܁জߌν֨ԺںԺ࠘ॠٕɰ. SAPSܓ, ԓজܓ, ՙ࢘ݓͿ

ĵՁʼر ەڷ϶ ॠΘ ߌν ڌ͟ڹ 400m3ۋɰ.

ইۤقԴۆ گ؋ ࣺɳںࣀ३ࢗتġःȇۆԺ࠘À

ڌۋॢ4Òۆ঳҃ݓ۾˞ںĀ܁ॠٕČ(Fig. 5), ۋ˞঳

҃ݓ۾˞ܼԜʂۺڷͿԺ࠘ܓæۋÀۤڮνॢݓ۾

ںԸ܁ॠşڦ३ر؋ͬ݋ࠢϭ͆ٮSOLPOS ćԓş εۋڌॢࢗتġьۻ֨֟ࢰҙݓۺ०ՁथÀεսॱ ॠٕɰ. 1ѥ঳҃ݓ۾ڹ֨ԺНěνՙͿԐڌʼə࠸ࢬ ۋȃч֟ۆԜҙۋɰ(Fig. 6(a)). ࠸ࢬۋȃч֟ۆȭۋ əأ2.6 mۋɰ. 2ѥ঳҃ݓ۾ڹ࠸ࢬۋȃч֟Դޅق

ڦ࠘ॢėࢢۋ϶ݓ঍ş҄ۋٰχॠČ1ѥ঳҃ݓ۾҃

ɰԜʂۺڷͿȉڹҙݓεটڌॣսەɰ(Fig. 6(b)).

3ѥ঳҃ݓ۾ڹSAPSܓԴޅҙݓۋ϶ইۦ֨ԺН؋

Ǵóࣺ֨ۋԺ࠘ʼرەɰ. 3ѥ঳҃ݓ۾ڹԴޅѓॳ

(6)

(a) (b)

(c) (d)

Fig. 6. Views of the candidate points for site assessment (a) Point 1 (b) Point 2 (c) Point 3 (d) Point 4.

ڷͿݓ঍ۋąԐ܋ەر܁ǫॳڷͿࢗتġःȇںԺ

࠘ॠşرͲڏܓæۋɰ(Fig. 6(c)). υݓφڷͿ4ѥ঳

҃ݓ۾ڹԓজܓʴޅҙݓͿԴɰ͟ۆߣЀ˞ۋۍۿ३

ەرԴŔρۙۆٖॳۋࢁìڷͿٚԜʼəݓ۾ۋɰ (Fig. 6(d)).

ٍĵĀę

SA қԵĀę

ر؋ͬ݋ࠢϭ͆εۋڌॠيٍĵݓًۆ঳҃ݓ۾4 ĖقʂॢSkyline ٖ߭ںսॱॠٕɰ. মęۺۍқԵں

ڦ३ٖԜٖ߭֨1-3ѥ঳҃ݓ۾قԴəSolar Typeں

ĵζ ф ޻ė Ͽ˚Ϳ Ժ܁ॠٕČ, 4ѥ ঳҃ݓ۾قԴə

ܳѺقǣИ˞ۋψۋەؽş˺ЛقSolar TypeںŔρ

ۙąćÌܓϿ˚ͿԺ܁ॠٕɰ. ر؋ͬ݋ࠢϭ͆ۆȭ ۋə1ѥ঳҃ݓ۾قԴə2.8 m, ǣϢݓ঳҃ݓ۾˞ق Դə1.8 mقԴٖ߭ॠٕɰ. Á঳҃ݓ۾ѻͿٖԜں3

ধ؂ъٖ҄߭ॢ঳3ۤۆر؋ͬ݋ٖԜ˞ۆқԵĀ ęε थŒॠي SAεĀ܁ॠٕɰ.

ٖ߭ʽر؋ͬ݋ٖԜęࢗتۆňۺ޲࣡εܼߑॢ

ĀęəFig. 7ęÏɰ. ښѻͿԓ܁ʽSA É˞ڹFig. 8 ق܃֨ॠٕɰ. 1ѥ঳҃ݓ۾قԴۆĀęεԕट҃ϸ, ࢗ ت ČʪÀȭڹيζߏقəSAÀ100%قÀŲóǣࢍ

ǣČەɰ. Ŕ͠ǣ12ښقəSA Éۋ22%Ϳǣࢍǣə

ˣۻъۺڷͿûڐߏقəSAÀࡾóۚ؉ݓəìںঝ ۍॣսەɰ. ٍथŒSAə76%Ϳԓ܁ʼؽɰ. 2ѥ঳

҃ݓ۾ۆښѻSA ԓ܁ĀęقԴəيζߏۆąڍ1ѥ

঳҃ݓ۾ۆĀęٮڮԐॢःࢤں҃ۋČەڷǣûڐߏ ۆąڍÉۋɰՙȭ؉ݕìںঝۍॣսەɰ. ٍथŒ

SAə80%Ϳԓ܁ʼؽɰ. 2ѥ঳҃ݓ۾ۆSAÀԜʂۺ ڷͿȭóǣࢍǦìڹܳѺߣЀ˞قۆॢŔρۙۆٖ

ॳۋ Ҽİۺ ۺş ˺Лۍ ìڷͿ ࣺɳʽɰ.

3ѥ঳҃ݓ۾ڹٍथŒSAÀ82%Ϳ4Òۆ঳҃ݓ۾

˞ܼÀۤȭóԓ܁ʼؽɰ. ر؋ͬ݋ٖٖ߭ԜقԴ҇

(7)

(a) (b)

(c) (d)

Fig. 7. Fisheye-lens images captured at (a) Point 1, (b) Point 2, (c) Point 3 and (d) Point 4 in the study area. Sun path chart is drawn on the images.

(a) (b)

(c) (d)

Fig. 8. Monthly solar access calculated at (a) Point 1, (b) Point 2, (c) Point 3 and (d) Point 4 in the study area.

(8)

Table 1. Monthly tilt and orientation factor (TOF) calculated at Point 3 in the study area

Month ¢ƍƎƒƇƋſƊ(MW/m2/month, tilt=40°, orientation=180°) ¢ſƁƒƓ ſƊ(MW/m2/month, tilt=40°, orientation=270°) TOF(%)

1 0.310 0.150 48%

2 0.291 0.171 59%

3 0.328 0.238 73%

4 0.303 0.272 90%

5 0.292 0.314 107%

6 0.271 0.306 113%

7 0.284 0.311 109%

8 0.302 0.294 97%

9 0.308 0.244 79%

10 0.323 0.201 62%

11 0.303 0.161 53%

12 0.306 0.147 48%

սەˢۋ3ѥ঳҃ݓ۾ڹܳѺۆߣЀ, ۻ֪ܳقۆॢ

ŔρۙۆٖॳۋԜʂۺڷͿۺş˺Лۋɰ. Ҽİۺϥ ν̆ر܋ەəݓ঍˞ۋսġؙۤڅۍ˞ͿۚڌॠČ

ەɰ. ҈, Àںقʪ70%ۋԜۆSAεǣࢍǣČەڷ϶, 12ښقʪҼİۺɰδݓً҃ɰȭڹSA É(44%)ں҃

ۋČ ەɰ. 4ѥ ঳҃ݓ۾قԴə ܳѺۆ սЀ˞ۋ սġ

ؙۤڅۍ˞ͿۚڌॠيٍथŒSAÀ48%Ϳԓ܁ʼؽ ڷ϶, يζߏۍ6ښقʪɰδ঳҃ݓ˞҃ɰأ10% ǰ ڹ90%ۆSAεǣࢍǴؽɰ. ̚ॢ, ûڐߏقəSAÀ0%

ūݓ ۚ؉ݓəìں ঝۍॣ ս ەؽɰ.

TOF қԵĀę

TOF ԓ܁ڹ3ѥ঳҃ݓ۾قʂ३Դχ֬֨ॠٕɰ. ই

ۤܓԐĀę1, 2, 4ѥ঳҃ݓ۾ۆąڍࢗتġःȇۆ

܁ǫॳ Ժ࠘À Àɠॠݓχ, 3ѥ ঳҃ݓ۾ۆ ąڍ Դޅ

ѓॳۆݓ঍ąԐͿۍ३܁ǫॳԺ࠘ÀرͲڐìڷͿ

ࣺɳʼؽş˺Лۋɰ. ˰͆Դ3ѥݓ۾قԴࢗتġःȇ

˞ں40° ąԐÁ, 180° ѓڦÁ(܁ǫॳ)ڷͿԺ࠘॰ںą ڍε߯ۺۆܓæۋ͆ČÀ܁ॠČ, 40° ąԐÁ, 270° ѓ ڦÁ(܁Դॳ)ں֬܃֨ėܓæڷͿԺ܁ॠيSOLPOS ćԓşεۋڌ३TOFεćԓॠٕɰ. 3ѥݓ۾قԴۆښ थŒTOF Éۆԓ܁ĀęəTable 1ęÏɰ. يζߏۆ

ąڍࢗتۆČʪÀȭş˺ЛقࢗتġःȇۆѓڦÁ ۆٖॳۋࡾݓ؍ڷǣ, ûڐߏقəŔٖॳۋϔڍࡾɰ əìںঝۍॣսەؽɰ. ࣢০, 1ښę12ښۆąڍقə

ࢗتġःȇقʪɵॠəࢗت҄Ԑقȃݓۆۼъ܁ʪ

шقটڌॣսػəìڷͿǣࢍǮɰ. ٍथŒ, 5-10ښ

थŒ, 11-4ښथŒTOFəÁÁ78%, 95%, 62%ͿқԵ

ʼؽɰ.

5-7ښۆқԵĀęقԴTOF Éۋ100% ۋԜڷͿԓ

܁ʽìڹČ܁঍ࢗتġःȇۋąԐÁۋ40°ͿҼİۺ

śॠČ, 5-7ښۆࢗتČʪÁۋȭş˺Лۋɰ. ۋąڍ

ःȇۆąԐÁęࢗتۆČʪÁۆşॠॡۺěćقۆ३

܁ǫॳःȇ҃ɰ܁ԴॳःȇقʪɵॠəێԐ͟ۆتۋ

ێ֨ۺڷͿ ݒÀॣ ս ەɰ.

TSRF қԵĀę

4Òۆ঳҃ݓ۾˞قʂॢTSRF ԓ܁ĀęəFig. 9ٮ

Ïɰ. 1, 2, 4ѥ঳҃ݓ۾ڹTOFÀ100%ۋş˺ЛقSA ÉęTSRF Éۋʴێॠɰ. ԓ܁ʽTSRFεҼİॣ˺2 ѥ঳҃ݓ۾ۋٍĵݓًقԴࢗتġьۻ֨֟ࢰںԺ࠘

ॠşق Àۤ ڮνॢ ìڷͿ ࣺɳʽɰ. 2ѥ ݓ۾قԴə

ٍĵݓًقʪɵॠəࢗتێԐٍܼ͟थŒ81% ܁ʪ εࢗتġьۻ֨֟ࢰقটڌॣսەڷ϶, 11-4ښقə

थŒ 67%εটڌॣսەəìڷͿǣࢍǮɰ. 12ښۆ

ąڍقʪٍĵݓًقʪɵॠəࢗتێԐܼ͟أ30%

܁ʪεࢗتġьۻںڦ३ԐڌॣսەəìڷͿқԵ ʼؽɰ.

ъϸ3ѥݓ۾ۆąڍقəSAχ҇˺قəÀۤڮν

ॢԺ࠘ܓæۋؽڷǣǫॳԺ࠘ÀҝÀɠॢݓ঍ۺܓ æڷͿۍ३TSRFÀ2ѥݓ۾قҼ३ǰóथÀʼؽɰ.

TSRFÀÀۤǰóԓ܁ʽĖڹ4ѥ঳҃ݓ۾ڷͿԴٍ

थŒ50%ͿқԵʼؽɰ. ࣢০, 11ښҙࢢ4ښūݓۆş ÂقԴəTSRFÀ26%Ϳϔڍۚóԓ܁ʼؽɰ. ˰͆Դ

4ѥ঳҃ݓ۾ڹࢗتġьۻ֨֟ࢰԺ࠘ۤՙͿԴҙۺ ०ॢ ìڷͿ ࣺɳʽɰ.

(9)

Fig. 9. Annual, summer solstice, winter solstice average TSRFs calculated at each site.

ر؋ͬ݋ࠢϭ͆ۆۺڌՁقʂॢČ޶

ٍ҆ĵقԐڌʽر؋ͬ݋ࠢϭ͆əٖ߭֨ۙşۤں

ьԦॠəܳѺНߕقлÇॠóъڿॢɰ. ࠢϭ͆قǴ

ۤʽѓڦÁфąԐÁࠑ܁ۤ࠘Àۙşۤقٖॳںы ş˺Лۋɰ. ˰͆Դٖ߭ݓ۾ܳѺقۙşۤںڮьॣ

սەəНߕÀܕۦॣąڍقə߿қॢۋüäνεঝ

҃ॢ঳ٖ߭३آॢɰ. χأۙşۤقٖॳںы؉ѓڦ ÁфąԐÁࠑ܁ق١޲ÀьԦॣąڍر؋ͬ݋߭

ٖٖԜقܼߑʼəࢗتňۺę Skylineۋɵ͆ݗ ս

ەڷдͿܳۆ३آ ॢɰ.

Ā΁

҆ ٍĵقԴə Ԙυࢗ܁ ġԓѕս ٍۙ܁জߌν֨Ժ ۆࢗتġьۻ֨֟ࢰҙݓۺ०ՁںथÀॠşڦॠي

4Ò঳҃ݓ۾˞قʂॢSA, TOF, TSRFεԓ܁ॠٕɰ.

1ѥ঳҃ݓ۾ۍ࠸ࢬۋȃч֟ԜҙəٍथŒ76%, 5ښ قԴ10ښԐۋəथŒ93%, 11ښę4ښԐۋəथŒ

60%ۆSAεٕ҃ɰ. 2ѥ঳҃ݓ۾ۆSAəٍथŒ80%

ͿԴ࠸ࢬۋȃч֟Ԝҙ҃ɰȭڹێԐ͟Ȥ߻Ҽڱں

ٕ҃ɰ. 5ښҙࢢ9ښԐۋۆथŒSAə95%ۋČ11ښę

4ښԐۋə67%ۋɰ. 3ѥ঳҃ݓ۾ڹٍथŒ82%ۆSA εǣࢍǴؽČ, 5ښę 9ښ Ԑۋقə 96%, 11ښę 4ښ

Ԑۋə72%ͿSA ݓսقԴəÀۤڮνॢԺ࠘ܓæں

ǣࢍǴؽɰ. ܳѺقսġؙۤڅՙ˞ۋψؕʏ4ѥ঳҃

ݓ۾قԴəٍथŒ48%, 5ښę9ښԐۋə73%, 11ښ ę4ښԐۋə26%ۆSA ݓսεǣࢍǴؽɰ. TOFə3ѥ

঳҃ݓ۾قʂ३Դχԓ܁ॠٕɰ. ŔĀęٍथŒ, 5-10ښ थŒ, 11-4ښथŒTOF ÉۋÁÁ78%, 95%, 62%Ϳ

қԵʼؽɰ.

TSRFεԓ܁ॢĀę2ѥ঳҃ݓ۾قԴٍथŒ81%Ϳ

ÀۤȭڹÉںǣࢍǴؽɰ. 1ѥ঳҃ݓ۾ۋ77%Ϳ˃

ѥݫͿȭڹTSRFεǣࢍǻڷ϶, SAÀÀۤȭؕʏ3ѥ

঳҃ݓ۾ۆąڍ܁ǫॳԺ࠘ÀرͲڏݓ঍ܓæڷͿۍ ३TSRFÀ64%ͿԜʂۺڷͿǰóथÀʼؽɰ. ˰͆Դ

ࢗتġьۻ֨֟ࢰԺ࠘঳҃ݓۆۺ०ՁںथÀॢĀ ęٍĵݓًقԴə2ѥݓ۾ۋࢗتġःȇԺ࠘قÀۤ

ڮνॢ ܓæں Àݓə ìڷͿ ࣺɳʽɰ.

ٍ҆ĵقԐڌʽر؋ͬ݋ࠢϭ͆əٖ߭֨ۙşۤ

ںьԦॠəܳѺНߕقлÇॠóъڿॠдͿ, ٖ߭ݓ

۾ܳѺقۙşۤںڮьॣսەəНߕÀܕۦॣąڍ قə߿қॢۋüäνεঝ҃ॠəìۋܼڅॠɰ. ॳ঳

ٍĵͿԴٖ߭ݓ۾ۆঞąܓæق˰δر؋ͬ݋ࠢϭ

͆ۆ ࠑ܁ ١޲ қԵۋ ज़څॣ ìڷͿ ࣺɳʽɰ.

ԐԐ

ٍ҆ĵə2013țॢĶġ३ěνėɳۆġ३ѓݓşց ÒьԐغ<Čԓʪġԓѕսߌνεڦॢٍۙ܁জ؎ࠥ

νėśܓÒь>ۆ ݓڙڷͿ սॱʼؽɰ.

3FGFSFODFT

Choi, Y., 2013, “Utilization of Renewable Energy Technology in the Mining Industry,” J. of the Korean Society for Geosystem Engineering, Vol. 50, No. 3, pp. 422-429.

Choi, Y., Rayl, J., Tammineedi, C. and Brownson, J.R.S., 2011, “PV Analyst: Coupling ArcGIS with TRNSYS to assess distributed photovoltaic potential in urban areas,”

Solar Energy, Vol. 85, No. 11, pp. 2924-2939.

Galli, M. and Hoberg, P., 2009, “Solar site evaluation tools

& techniques to quantify & optimize production,” SOLARPRO, Vol. 2, No. 1, pp. 54-64.

Honsberg, C. and Bowden, S., 2013, PVCDROM, Solar Power Labs at Arizona State University, USA, 2013.9.30, http://

pveducation.org/pvcdrom.

Solmetric Corporation, 2011, Solmetric SunEye 210 User’s Guide, Solmetric Corporation, 2013.9.30, http://resources.

solmetric.com/get/Solmetric%20SunEye%20200%20Serie s%20Users%20Guide_en.pdf.

Song, J. and Choi, Y., 2012, “Assessment of rooftop photovoltaic potential in the Pukyong National University for establishing a green campus,” J. of the Korean Society for Geosystem Engineering, Vol. 49, No. 3, pp. 369-378.

(10)

৉஼ઽ

ইۦ ҙąʂॡİ ঞą३تʂॡ قȃݓۙڙėॡę, ॡԐę܁

(欧G 彳櫾躇G 缧49嘳G 缧3埲G 垾畢)

୨ઽ૵

ইۦ ॢĶݓݗۙڙٍĵڙ ݓݗঞąۦ३ٍĵҙ ޾ےٍĵڙ (欧G 彳櫾躇G 缧50嘳G 缧2埲G 垾畢)

ࢮ෮ন

ইۦॢĶġ३ěνėɳġ३şցٍĵՙսݗঞąٍĵٍࣳĵڙ (欧G 彳櫾躇G 缧50嘳G 缧1埲G 垾畢)

ౖ૬০

ইۦ ҙąʂॡİ ঞą३تʂॡ قȃݓۙڙėॡę ܓİս (欧G 彳櫾躇G 缧49嘳G 缧6埲G 垾畢)

ହ׊୍

ইۦ ॢĶݓݗۙڙٍĵڙ ݓݗঞąۦ३ٍĵҙ Ըےٍĵڙ (欧G 彳櫾躇G 缧50嘳G 缧2埲G 垾畢)

수치

Fig. 2. Fisheye-lens images captured by using three different modes (a) Normal (b) Clouds and blue sky (c) Shaded.
Fig. 4. Web version of the NREL SOLPOS calculator  (www.nrel.gov/midc/solpos/solpos.html).
Fig. 6. Views of the candidate points for site assessment (a) Point 1 (b) Point 2 (c) Point 3 (d) Point 4.
Fig. 8. Monthly solar access calculated at (a) Point 1, (b) Point 2, (c) Point 3 and (d) Point 4 in the study area
+3

참조

관련 문서

In this paper, an adaptive pedestrian detection algorithm using the fusion of CCTV and IR camera is proposed.. One of the drawbacks of the pedestrian

(2011), “The Value of Module Efficiency in Lowering the Levelized Cost of Energy of Photovoltaic Systems,” Renewable and Sustainable Energy

The thickness of the maxillary sinus lateral wall according to tooth site and measurement level was measured by using image-processing software and its histologic

In this paper, defect of nuclear energy pipe and composite material were, measured using dual-beam shearography and infrared thermography, quantitatively

In order to simulate a thermo-mechanical behavior in the vicinity of the deposited region by a LENS process, a finite element (FE) model with a moving heat flux is developed

environmental burdens associated with a product, process, or activity by identifying energy and materials used and. wastes released

Digital incoherent holography enables holograms to be recorded from incoherent light with just a digital camera and spatial light modulator , and three-dimensional properties

 Analytical photogrammetry is a term used to describe the rigorous mathematical calculation of coordinates of points in object space based upon camera parameters,