3D BIM-based Building Energy Efficiency Solution for Carbon Emission Reduction

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** ᖒɁšݡ⦺Ʊ u-CityŖ⦺ŝ ᕾᔍŝᱶ ([email protected]) *** ᖒɁšݡ⦺Ʊ u-CityŖ⦺ŝ ᕾᔍŝᱶ ([email protected])

Received March 26 2013, Revised April 15 2013, Accepted April 19 2013

Copyright ⵑ 2013 by the Korean Society of Civil Engineers

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0)

ǣǣȀȀǤǤȀͳͲǤͳʹ͸ͷʹȀǤʹͲͳ͵Ǥ͵͵Ǥ͵Ǥͳʹ͵ͷ ǤǤǤ

㚂❊ⶾᇎⴂ#Ⳃ㬚#6G#ELP#Ꮾ⇖#ሲ⃺#⮎ᛆ⽾#㱦⳦㰒#⇧⬆

ଲܛฅȵ֫׆୨ȵ਑ச෹ȵࢮ਎็

Lee Dong Hwan*, Kwon Kee Jung**, Shin Ju Ho***, Park Seunghee****

3D BIM-based Building Energy Efficiency Solution for Carbon Emission Reduction

ABSTRACT

This study deals with the BIM (Building Information Modeling)-based energy performance analysis implemented in EnergyPlus. The BIM model constructed at Revit is updated at Design Builder, adding HVAC models and converted compatibly with the EnergyPlus.

We can obtain the input values about HVAC system and building environment such as HVAC system efficient, the number of air changes and energy consumption of equipment on applying GAs (Genetic algorithms). After modification about HVAC system, Optimization about HVAC system energy consumption can be analyzed. In order to maximize the building energy performance, a genetic algorithm (GA)-based optimization technique is applied to the modified HVAC models. Throughout the proposed building energy simulation, finally, the best optimized HVAC control schedule for the target building can be obtained in the form of “supply air temperature schedule”. Throughout the supply air temperature schedule is applied to energy performance simulation, we obtained energy saving effect result on simulation.

Key words : HVAC (Heating, Ventilation, Air-Conditioning), BIM (Building Information modeling), Energy Simulation, GA (Genetic Algorithm), BEMS (Building Energy Management System)

Ⅹಾ

ᅙםྙᨱᕽ۵ÕྜྷԕHVAC᜽ᜅ▽᮹ᗭእᨱթḡ⬉ᮉ⪵ෝ༊⢽ಽ⦽݅. ᯕෝ᭥⧕Õྜྷᨱթḡ᜽ဍ౩ᯕᖹŝᮁᱥ᦭Łญ᷹ᮥᯕᬊ⦹ᩍ

HVAC᜽ᜅ▽ԕɪʑ᪉ࠥᨱݡ⦽ᱽᨕᜅ⍡ᵥᮥࠥ⇽⦹ᩡ݅. ᩑǍݡᔢÕྜྷᮡ90֥ݡᨱḡᨕᲙBIMᯕǍ⇶ࡹᨕᯩḡᦫᦥݡᖒÕྜྷ᮹

BIMᮥ Ǎ⇶⦹ᩡŁ, əᱶᅕෝᨱթḡ᜽ဍ౩ᯕᖹ⥥ಽəఉᨱ᯦ಆ⦹ᩍ, ݡᔢÕྜྷᨱݡ⦽ᨱթḡ᜽ဍ౩ᯕᖹ༉ߙᮥǍ⇶⦹ᩡ݅. ੱ⦽ᝅ⊂⦽

ᗭእᨱթḡ᧲ᱶᅕ᪡እƱ⦹ᩍݡᔢÕྜྷᨱթḡ᜽ဍ౩ᯕᖹᮥᝅᱽᨱթḡᗭእపᮁᔍ⦹íᅕᱶ⦹ᩡ݅. ᙹᱶࡽÕྜྷᨱթḡ᜽ဍ౩ᯕᖹ༉ߙ ŝᮁᱥᯱ᦭Łญ᷹ᮥᯕᬊ⦹ᩍᨱթḡ⬉ᮉ⪵ɪʑ᪉ࠥᜅ⍡ᵥᯕ᯲ᖒࡹᨩ݅. ݡᔢÕྜྷᨱᱢᬊࡹᨩᮥভᨱթḡᱩq⬉ŝ۵3%ಽӹ┡ԍ݅.

ᦥḢᯕᇥ᧝۵ᖅእ᮹ᱽᨕʑჶᨱš⦽ᩑǍaၙḥ⦹Ł, ᵝಽšญᯱ᮹Ğ⨹ᮥ☖⧕šญࡹ۵⊂໕ᯕᯩᨕ, ᨱթḡ᜽ဍ౩ᯕᖹ⥥ಽəఉᨱ᮹

⦽ʑჶ}ၽၰəᨱݡ⦽⬉ŝ᮹á᷾ᮥ☁ݡಽᨱթḡᱩqʑჶᨱݡ⦽ᩑǍၰ}ၽᯕ⦥᫵⦹݅. ᅙᩑǍ۵HVAC system ᱽᨕʑჶᨱ᜽ၽ ᱱᯕࢁäᯕ݅.

áᔪᨕ Ŗ᳑ʑ, Õྜྷᱶᅕ༉ߙย, ᨱթḡ᜽ဍ౩ᯕᖹ, ᮁᱥᯱ᦭Łญ᷹, Õྜྷᨱթḡšญ᜽ᜅ▽

܁҃şց

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Table 1. Contents of previous research

Author Research contents Limitations

Huang and Lam

(1997) Derive optimal values of PID controller parameters Not the direct control of the HVAC system algorithm, optimized for controller parameters

Fong, Handy and Chow (2006)

Derive monthly schedule, supply airtemperature and

coolant temperature Not Daily schedule, so can not respond to changes in daily weather Fan

(2008)

The supply air temperature according to the outdoor temperature and humidity conditions

Only consider the outdoor temperature and humidity of the various factors on the energy consumption of single-duct variable air volume

An Byung Chun Optimal control techniques derived using regression Only concerned about the environment variables by introduction Fig. 1. Research methods and procedures

1. ᕽು

1.1 ઴֜ଭࡧୡ

ᱥᖙĥᱢᮝಽʑ⬥ᄡ⪵᪡ᨱթḡྙᱽ⧕đᮥ᭥⧕ࠥ᜽, ݉ḡ, Õ⇶ྜྷ, Ʊ☖ᇡྙ॒᮹}ᄥʑᚁ}ᖁᐱอᦥܩ௝ĥ⫮ၰᖅĥ

₉ᬱ᮹┥ᗭᱡqᮥ᭥⦽᳦⧊ᱢᯙ⧕đႊᦩᨱݡ⦽ᩑǍaḥ⧪ࡹ

Łᯩ݅. ᨱթḡᗭእᇥ⡍❭ᦦᮥ᭥⧕ᵝ᫵ᨱթḡᗭእᨱݡ⦽

ᔑᨦᄥ ᇥ⡍ෝ ᔕ⠕ᅕ໕, ᱥℕ ᨱթḡ ᗭእᬱᨱᕽ ᔑᨦ ᇡᇥᮡ

33%ᮥ₉ḡ⦹ŁᯩŁ, Ʊ☖ᩢᩎᮡ28%, əญŁÕྜྷᩢᩎᨱᕽ۵

ᵝÑ ၰ ᔢᨦᬊ Õྜྷᮥ ⡍⧉⦹ᩍ 39%ෝ ₉ḡ⦹Ł ᯩ݅.

✚⯩, ၙǎ ⪹Ğᖒᨱᕽ ᱽŖ⦹۵ ᯱഭෝ ᔕ⠕ᅕ໕ Õྜྷᨱᕽ

ᗭእ⦹۵ᨱթḡ᧲ᨱݡ⧕ᕽᔕ⠕ᅕ໕, ᵝÑᬊÕྜྷᨱᕽ۵Ԫӽႊ

ᨱթḡෝ⧊⊹໕Õྜྷᨱᕽᗭእࡹ۵ᨱթḡపᵲᨱᕽ42%ෝ₉ḡ

⦹Łᯩᮝ໑, ᔢᨦᬊÕྜྷᨱᕽ۵ᵝÑᬊÕྜྷᅕ݅۵ᱢḡอ29%ෝ

ᗭእ⦹Łᯩ݅. ᯕ᪡zᯕÕྜྷᨱթḡšญᨱ᮹⦽ᨱթḡᗭእప

qᗭ۵ๅᬑᵲ᫵⦽ႊჶᯕ௝Ł⧁ᙹᯩ݅.(U.S Environmental Protection Agency, 2009) ᅙᩑǍᨱᕽ۵ǎԕ᫙Õᖅᔑᨦᨱᕽ

BIMᯕ᮹ྕᱢᬊᯕ᫵Ǎࡹ໕ᕽ, Õྜྷᨱթḡᖒ܆᜽ဍ౩ᯕᖹᨱ

⪽ᬊ⧁ Ğᬑ ə ⪽ᬊࠥa ׳ᮥ äᯕ݅. (⪹Ğᇡ, 2011) ᯕ్⦽

ᯕᮁಽݡᔢÕྜྷᮥBIMᮝಽǍ⇶⦹ᩍÕྜྷᨱթḡ᜽ဍ౩ᯕᖹᨱ

ᯕᬊ⦹ᩡŁ, ݡᔢÕྜྷ᮹HVAC ᜽ᜅ▽᮹ɪʑ᪉ࠥᜅ⍡ᵥᮥ☖⧕

Õྜྷ ᗭእᨱթḡ ᱩq ႊჶᮥ ࠥ⇽⦹ᩡ݅.

1.2 টෘ઴֜ճఝ

Õྜྷ᮹HVACᱽᨕၰᱽᨕʑჶᨱݡ⦽ʑ᳕ᩑǍᨱݡ⦽ԕᬊ

ၰ⦽ĥᱱᮥᱶญ⦹໕Table 1ŝz݅. ʑ᳕ᩑǍෝ☖⧕HVAC

᜽ᜅ▽᮹ɪʑ᪉ࠥᱽᨕෝ☖⧕ᨱթḡᱩqᯕa܆⧉ᮥၾ⩡ԕᨩ

݅. ݅อ ᖁ⧪ᩑǍᨱᕽ᮹ ⦽ĥᱱ ᩎ᜽ ❭ᦦ⦹ᩍ ᯕෝ ᅕ᪥⦹۵

ᩑǍෝḥ⧪⦹ᩡ݅. ঑௝ᕽᅙᩑǍᨱᕽ۵HVAC ᜽ᜅ▽᮹ɪʑ᪉

ࠥᱽᨕᜅ⍡ᵥᮥࠥ⇽⦹ᩍݡᔢÕྜྷᨱݡ⦽ᨱթḡᗭእ⬉ᮉ⪵ෝ

ݍᖒ⦹Łᯱ⦽݅. ੱ⦽↽ᱢ⪵᦭Łญ᷹ᯙᮁᱥᯱ᦭Łญ᷹ᮥᯕᬊ

⦹Ł, əᨱݡ⦽༊ᱢ⧉ᙹෝÕྜྷᨱթḡ᜽ဍ౩ᯕᖹ⥥ಽəఉᮥ

ᔍᬊ⦹ᩍ᜽eᨱ঑ෙᄡ࠺᫵ᗭෝ᜽ဍ౩ᯕᖹ⥥ಽəఉᨱᕽŁಅ

⦹ᩡ݅. ʑ᳕ ᩑǍᨱᕽ Łಅ⦹ḡ ༜⧩޹ ᄡᙹࠥ ᯦ಆ⦹ᩍ ᱽᨕ

ᜅ⍡ᵥᮥ ࠥ⇽⦹ᩡ݅.

1.3 ઴֜ࢺ࣑ࢫୣఙ

ÕྜྷԕHVAC(Heating, Ventilation and Air Conditioning ᯕ⦹HVAC)ᨱᕽᗭእࡹ۵ᨱթḡ᧲ᮥ↽ᱢ⪵⦹ʑ᭥⧕ᅙᩑǍᨱ ᕽ۵BIM(Building Information Modeling)ᮥᯕᬊ⦹ᩍÕྜྷᨱթ ḡᖒ܆ᯕ⠪aࡹᨩ݅. Õྜྷᨱթḡ᜽ဍ౩ᯕᖹᮥᯕᬊ⦹໕ݡᔢ

Õྜྷ᮹ᨱթḡᱩqʑჶᨱݡ⦽᜽ဍ౩ᯕᖹᯕa܆⧕ḡ໑, ᯕෝ

ᯕᬊ⧕ ↽ᱢ⪵ ᦭Łญ᷹ᯙ ᮁᱥᯱ ᦭Łญ᷹ᯕ ᱢᬊࢁ ᙹ ᯩᨕ

ᨱթḡ↽ᱢ⪵aa܆⦹݅. ᯕෝ☖⦹ᩍ⦹ᱩʑݡᔢÕྜྷHVAC

᜽ᜅ▽᮹ɪʑ᪉ࠥᜅ⍡ᵥᯕࠥ⇽ࡹŁ, BEMS(Building Energy

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Fig. 2. Concepts of genetic algorithms (ॢॡڌ, 2009) Management System, ᯕ⦹BEMS)ෝᯕᬊ⦹ᩍݡᔢÕྜྷᨱᱢᬊ

a܆⦹݅. ᩑǍᱩ₉᪡ ႊჶᮡ Fig. 1ŝ z݅.

2. ᯕುᱢ႑Ğ

2.1 BIM(Building Information Modeling)

BIMᯕ௡aᔢŖe᮹3D ༉ߙᮥʑၹᮝಽᯕ൉ᨕḡ໑, ݡᔢ

Õྜྷᨱݡ⦽ᱥၹᱢᯙᱶᅕෝݕŁᯩ݅. ᯕ༉ߙᮡÕྜྷ᮹⩶┽, ၰ ᯦໕, ॵᯱᯙ, }Ǎᇡ Ⓧʑ ॒᮹ ݡᔢ Õྜྷ᮹ ྜྷᖒ⊹ʭḡࠥ

ݕŁ ᯩᨕ Õྜྷ ʑ⫮, ᖅĥ, ᨵḡܩᨕย, əญŁ ᜽Ŗ šญʭḡ

Õྜྷᔾᧁᵝʑᱥၹᨱšಉ⦹ᩍᔍᬊa܆⦹݅.(Eastman, 2009)

⩥ᰍǎԕ᫙ฯᮡÕᖅᔍᨦᨱᕽBIM ᯦ࠥᯕḥ⧪ࡹŁᯩᮝӹ, ᕽಽ݅ෙ⥥ಽəఉᔍᯕᨱḡᬱ⡍๘ᯕݍ௝⩲ᨦᯕŅ௡⦽äᯕ

ᔍᝅᯕ݅. ᯕෝสʑ᭥⧕IFC(International Foundation Classes) a᯦ࠥࡹʕ⧩ḡอ, ᦥḢʭḡᱽ᯲ၰᯙ᷾▭ᜅ✙᮹ၙ⯂॒ᮝಽ

ᯙ⧕⪙⪹ᖒᨱྙᱽaᯩ݅.(Schueter, 2009) ⦹ḡอ, ᨱթḡ᜽ဍ ౩ᯕᖹ᜽ᨱ۵໨aḡ݉ĥෝÑℱᔍᬊa܆⦹໑, ʑ᳕᮹ߑᯕ░ෝ

ᔍᬊ⧁ ᙹ ᯩᨕ ߑᯕ░ ᯦ಆ᮹ ⬉ᮉ⪵, Õྜྷ ⩶┽ ᄡ⪵ᨱ ݡ⦽

዁ෙݡ᮲, ᜽ဍ౩ᯕᖹ᜽⦥᫵⦽ᯱഭaᯱ࠺ᮝಽᱡᰆࡹᨕᨱթḡ

᜽ဍ౩ᯕᖹ᜽e݉⯩ᯕᬊ⧁ᙹᯩ۵ᰆᱱᯕᯩ݅.(Tuomas Lunie, et al, 2007) IFC᪡gbXMLŝ᮹ᔢ⪙ᬕᬊᖒᯕ⪶ᅕࡽ݅໕BIMʑ ၹᨱթḡ⧕ᕾᯕa܆⦹໑, ⨆⬥BEMS᮹ᮁḡšญʑ܆ŝ☖⧊ࡹ

໕, ᯕ۵ BIM᮹ ~ℕᱶᅕෝ ၵ┶ᮝಽ ᳡ ޵ ᮁᬊ⦽ ᙹ݉ᯕ ࢁ

äᮝಽʑݡࡽ݅. ᅙᩑǍᨱᕽ۵ᨱթḡ᜽ဍ౩ᯕᖹ⥥ಽəఉŝ

BIM༉ߙยe᮹ ⪙⪹ᖒ ᱽ᜽ෝ ᭥⧕ BIMᮥ ⪽ᬊࡹᨩ݅.

2.2 Սࢄ઩٪஺ਏ࢘ߑଲ঵

Õྜྷᨱթḡ᜽ဍ౩ᯕᖹᯕ௡Õྜྷ᮹ᩕᱢ✚ᖒᨱᩢ⨆ᮥӝ⊹۵

b᳦᫵ᗭෝߑᯕ░༉⩶ᮝಽǍ⇶⦽⬥⍕⥉░ෝᯕᬊ⧕ᱶ⧕ḥ

໦ಚᮥᙹ⧪⧉ᮝಽ៉ᝅᱽᯝᨕԁߑᯕ░ෝᩩ⊂⦹ᩍ⍕⥉░ߑᯕ

░ಽᱽ᜽⦹۵᯲ᨦᯕ݅. Õྜྷᨱթḡ᜽ဍ౩ᯕᖹ᮹ʑᅙ᯦ಆߑᯕ

░ᨱ۵ᄞℕ, ₞⪙, ྙ॒Õྜྷ᫙⦝᮹ᩕᱢ✚ᖒၰᔍ௭, ᳑໦, ၽᩕʑʑ ॒ Õྜྷ ԕᇡ ᇡ⦹᪡ ʑᔢߑᯕ░, ᯝᔍప, ┽᧲ bࠥ

॒ʑᔢ᳑Õ᫙ᨱԪ/ӽႊᖅእ, ᘂ⣮ʑ, ၹᘂᖅእ॒Ŗ᳑ᖅእ᮹

ᬕᱥ✚ᖒ ॒ᯕ ᯩ݅. ᜽ဍ౩ᯕᖹ᮹ đŝಽ ᩑe ᨱթḡ ᔍᬊప

ၰᨱթḡእᬊ, Õྜྷ᮹ᨱթḡᇡ⦹॒ᮥࠥ⇽ࡽ݅.(ʡݡ⩥, 2012) ᯕෝ☖⧕ᕽ݅ᮭᖙaḡᰆᱱᮥ᨜۵݅. ℌṙ, ᨱթḡ᜽ဍ౩ᯕᖹ

⥥ಽəఉᮥ⪽ᬊ⧁᜽ᨱᨱթḡᱩq᳑⊹᮹ᖒ܆ᮥ᜽ဍ౩ᯕᖹᮥ

☖⦹ᩍᩩ⊂⧁ᙹᯩᨕ, ᨱթḡᱩq᳑⊹᮹ᱢᬊᱥఖᮥᙹพ⧁

ᙹᯩ݅. ࢹṙ, ᱢᬊࡽᨱթḡᱩq᳑⊹᮹ᖒ܆ᮥ⠪a⧁ᙹᯩ݅.

ᖬṙ⩥ᰍᔍᬊࡽᨱթḡෝ⠪a⧁ᙹᯩ۵Õྜྷᔍᬊᨱթḡ⠪a

ʑᵡᮥᱽŖ⧁ᙹᯩ݅. ᯕ᪡zᮡᰆᱱᮥ⪽ᬊ⦹ᩍᅙᩑǍᨱᕽ

ḥ⧪⦹Łᯱ⦹۵Õྜྷᨱթḡᱩqʑჶᮥ}ၽ⦹۵ߑᯩᨕÕྜྷ

ᨱթḡ᜽ဍ౩ᯕᖹᨱᩢ⨆ᮥၙ⊹۵᫵ᗭ᮹ʑᵡᮝಽ⪽ᬊa܆⧁

äᯕ௝❱݉⦹ᩍݡᔢÕྜྷᨱݡ⦽ᨱթḡ᜽ဍ౩ᯕᖹđŝෝࠥ⇽

⦹Łᯱ ⦽݅.

2.3 କୢୀੵճࠤஶ(Genetic Algorithm, GA)

ᮁᱥᯱ᦭Łญ᷹ᯕ௡ᮁᱥ⦺ᨱʑၹᮥࢵ᦭Łญ᷹ᮝಽ៉⃹ᮭ

ᨱ۵ ᯱᩑᱢ᮲ ŝᱶŝ ᯱᩑ⩥ᔢᮥ ݏᮡ ᖒḩᯕ ᯩ۵ ༉ߙᨱอ

ᔍᬊࡹᨩᮝӹ, ⬥ᨱᔍᬊჵ᭥a⪶ݡࡹᨩ݅.(⦽⦺ᬊ, 2009) ʑᅙᱢ ᯙᮁᱥᯱ᦭Łญ᷹᮹Ǎᖒ᫵ᗭ۵Fig. 2᪡z݅. ⃹ᮭ⦽ᖙݡ᮹

}ℕॅ᮹Ḳ⧊ᨱݡ⦽Ⅹʑ⪵۵௽߅⦹íᖅᱶࡽ݅. əญŁḲ⧊ᮥ

ᯕ൉۵}ℕ bbᮡ ၙญᱶ⦽ ༊ᱢ⧉ᙹಽ ᱶ᮹ࡽʑᵡᨱ ঑௝

⠪aࡹŁ, ᯕᨕᕽᖁ┾ࡽ}ℕeᨱ۵Ʊ႑᪡࠭ᩑᄡᯕᮁᱥᩑᔑᯱ

ෝ☖⧕݅ᮭᖙݡಽḥ⪵⦽݅. ᯕ్⦽ၹᅖ᮹᳦ഭ᜽ᱱᮡᱶ⧕ḥ

⬀ᙹaࢁᙹࠥᯩŁ, ᬱ⦹۵ʑᵡᨱ฿۵đŝᨱࠥݍ⧁ভʭḡ

ၹᅖࢁᙹࠥᯩ݅. ᅙᩑǍᨱᕽ۵ᨱթḡᗭእa↽ᱢ⪵ࡹ۵HVAC ɪʑ᪉ࠥෝ┱ᔪ⦹ʑ᭥⧕ᕽᮁᱥᯱ᦭Łญ᷹ᮥᖁ┾⦹ᩡ݅. ᮁᱥ

ᯱ᦭Łญ᷹ᮥᱢᬊ⦹ʑ᭥⧕ᕽ⥥ಽəఉMatlabᨱǍ⇶⦹ᩡ݅.

2.4 BEMS(Building Energy Management System) BEMS௡Õྜྷԕ⏭ᱢ⦽ᝅԕ⪹Ğᮥᮁḡ⦹໕ᕽᨱթḡᖒ܆ᮥ

׳ᯕʑ᭥⦹ᩍ᯦ࠥࡹ۵Õྜྷšญ᜽ᜅ▽ᮥั⦽݅. ᯕ᜽ᜅ▽ᮡ

Õྜྷԕᖅእ᜽ᜅ▽᮹a࠺ᔢ┽q᜽᪡ᯱ࠺ᱽᨕෝᙹ⧪⦹໑, ᨱթḡ ᔍᬊపᮥ ᙹḲ⦽ ᱶᅕෝ ☁ݡಽ ⠪aŝᱶᮥ ☖⧕ Õྜྷ

᜽ᜅ▽᮹⬉ᮉᱢᯙᬕᩢŝᨱթḡᱩqᮥࠥ༉⦹۵ᩎ⧁ᮥ⦽݅.(⪮

ḡ⢽, 2008)

ᅙᩑǍᨱᕽ۵BEMS᮹ݡᔢÕྜྷᨱݡ⦽⪹Ğᱶᅕၰᨱթḡ

ᔍᬊపᱶᅕᙹḲၰÕྜྷԕᖅእ᜽ᜅ▽᮹ᱽᨕʑ܆ᮥ⪽ᬊ⦹Łᯱ

⦽݅. BEMSಽᇡ░ݡᔢÕྜྷ᮹ᨱթḡᔍᬊపᱶᅕෝᙹḲ⦹ᩍ

ݡᔢÕྜྷ᮹ᨱթḡ᜽ဍ౩ᯕᖹđŝෝᅕᱶ⦽݅. ᅕᱶࡽHVAC

(4)

Table 2. Building information

Name Guro E-Mart

Location Guro-gu in Seoul, Korea, 188-26 Type of Use B1~3F : sales area

4F~7F : parking area

Fig. 3. Demonstration of test bed and BEMS

Fig. 4. Snapshot of test bed and BIM ᨱթḡ ᜽ဍ౩ᯕᖹᮥ ᯕᬊ⦹ᩍ ݡᔢ Õྜྷᨱ ݡ⦽ ᨱթḡ ↽ᱢ

ɪʑ᪉ࠥᜅ⍡ᵥᮥࠥ⇽⦹Łࠥ⇽ࡽ᳑ÕᮥBEMSᨱᱢᬊ⦹ᩍ

ݡᔢ Õྜྷ᮹ HVACᮥ ᱽᨕ⦹۵ߑ ᔍᬊࢁ äᯕ݅.

3. BIM Ǎ⇶ၰÕྜྷᨱթḡ᜽ဍ౩ᯕᖹ

3.1 ۩ঃՍࢄԹ૬

ᅙ ݡᔢ Õྜྷᮡ Table 2᪡ zᯕ ᕽᬙ᜽ ǍಽǍᨱ ᯩ۵ Ǎಽ

E-Martෝ ݡᔢᮝಽ ⦹ᩡᮝ໑ K-MEG(Korea Micro Energy Grid) ᔍᨦᨱᕽᝅ᷾ݡᔢÕྜྷಽḡᱶࡹᨩ݅. ⩥ᰍݡᔢÕྜྷԕᨱ

BEMS(Building Energy Management System) Ǎ⇶ᯕ᪥ഭࡹᨩ

݅. Fig. 3ᮡݡᔢÕྜྷŝᬕᩢᖝ░᪡᮹ᱶᅕᘂᙹᝁၰšᱽᱶᅕෝ

ӹ┡ԙ݅. BEMS۵HVAC ᖅእ᮹ᨱթḡᗭእ⩥⫊ᮥᙹḲ⦹ᩍ

ᝅ᜽eᮝಽᬕᩢᖝ░᮹☖⧊ᕽქᨱᱥᘂ⦹ŁᯕෝšᱽUIෝ☖⧕

šᱽෝ ᝅ᜽⦹í ࡽ݅.

3.2 ۩ঃՍࢄBIM ֜ౠ

ݡᔢÕྜྷᮡ90֥ݡⅩᨱḡᨕḥÕྜྷಽBIM ᱶᅕaᨧᨩ݅.

ə௹ᕽAutodeskᔍ᮹RevitᯕᯕᬊࡹᨕݡᔢÕྜྷᨱݡ⦽BIMᯕ

Ǎ⇶ࡹᨩ݅. ݡᔢÕྜྷ᮹ ᨱթḡ ᜽ဍ౩ᯕᖹ᜽ BIMᨱᕽ Ԫႊ

ၰӽႊᖅእ᮹႑⊹ၰԕᄞᨱ঑௝ŖeᯕǍᇥࡹ໑bŖeᨱ

ݡ⧕ᕽᄥࠥ᮹ḡᱶᯕ⦥᫵⦹íࡽ݅. ᝅᱽǍಽE-Mart᮹༉᜖ŝ

᯲ᖒࡽ BIM᮹ ༉᜖ᮡ Fig. 4᪡ z݅.

3.3 BIM ୨࣪ଭ൞ଵ࣡ฅ

BIM ❭ᯝᯕ ⪙⪹ࡹ۵ ⥥ಽəఉᯕ ᳕ᰍ⦹ӹ, ᦥḢ ⪙⪹ࡹḡ

ᦫ۵ ⥥ಽəఉᯕ޵ᬒᱶၡ⦽Ğᬑaฯ݅. ᅙᩑǍᨱᕽᖁ┾⦽

Õྜྷᨱթḡ᜽ဍ౩ᯕᖹ⚕ࠥBIM ❭ᯝŝ۵⪙⪹ᯕࡹḡᦫ۵݅.

঑௝ᕽ, ᨱթḡ᜽ဍ౩ᯕᖹ᜽ဍ౩ᯕᖹᯕᙹ⧪ࡹಅ໕᜽ဍ౩ᯕᖹ

⥥ಽəఉᨱᕽᯙ᜾ᯕa܆⦽❭ᯝ⩶┽ಽ᮹ᄡ⪹ᯕ⦥᫵⦹݅. ᯕෝ

᭥⧕BIM ❭ᯝᮥgbXML(Green Building XML) ⩶┽ಽᄡ⪹⦹

ŁᯕෝDesignBuilder ⥥ಽəఉᮥᯕᬊ⦹ᩍHVAC ༉ߙᮥॵᯱ

ᯙ⦽݅. ᯕෝ☖⧕EnergyPlusaǍ࠺a܆⦽⩶┽᮹IDF ❭ᯝᯕ

ᔾᖒࡽ݅. Revitᮥᯕᬊ⦽BIM Ǎᖒᇡ░EnergyPlusaᯞᮥᙹ

ᯩ۵IDF ❭ᯝ⩶᜾ʭḡ᮹ᄡ⪹ŝᱶᮥe݉⦹íᱶญ⦹໕Fig.

5᪡ z݅.

(5)

Fig. 5. Conversion process of BIM

Table 3. Simulation input variables

Input value Value

Internal environment

condition

Clothing (clo) 0.4

Setting internal temperature ()

Time :

06:00~ 18:00() 23~25

Lighting (lux) 300

Occupant

& Action

Occupant Number of occupants 29 Activity (w) 70

Lighting

Energy consumption

(w/m²) 5

Radiant fraction 0.420 Visible fraction 0.180

Equipment

Energy consumption

(w/m²) 11

Radiant fraction 0.2

HVAC

form

type

Dual Duct VAV Condition IdeaLoad

System Design Flow rate(m³/s) 1.75

Efficient 1

Building Materials

Thermal conductivity of the wall (W/m·K) 0.036 Thermal conductivity of the roof (W/m·K) 0.021 mal conductivity of the bottom (W/m·K) 0.041

Fig. 6. Third floor plan of the test bed and thermal zone

3.4. ۩ঃՍࢄଭ઩٪஺ਏ࢘ߑଲ঵

ݡᔢÕྜྷ᮹BIMᱶᅕෝIDF❭ᯝಽᄡ⪹⦹Ł, ᄡ⪹ࡽIDF❭ᯝ

ᮥ ᯕᬊ⦹ᩍ ݡᔢ Õྜྷ᮹ ᨱթḡᖒ܆ᮥ ⠪a⦽݅. Õྜྷ ᨱթḡ

᜽ဍ౩ᯕᖹ᜽᯦ಆࡹ۵ᄡᙹ۵Table 3ŝz݅. ᯦ಆᄡᙹ᮹sᮡ

Ⓧíᖙ᳦ඹಽӹ٥ᨕḡ۵ߑ, ԕᇡ⪹Ğ᳑Õŝԕᇡᨱᕽ≉ाၰ

ᗱᝅࡹ۵ ᩕపᨱ ݡ⦽ äᯕ݅.

ษḡสᮝಽݡᔢÕྜྷᨱᱢᬊ⦽HVAC ᜽ᜅ▽༉ߙย᳑Õᮥ

ʑ᯦⦹ᩡ݅. ₊᮹ప᮹ Ğᬑ ᩍ෥℁ ʑᅙsᯙ 0.4ಽ ⦹Ł, ԕᇡ

ᖅᱶ᪉ࠥ᮹Ğᬑᵝe(06:00~ 18:00)ᮡ↽ᱡ23(ⳃ)ᨱ↽ݡ25(ⳃ)

ಽᖅᱶ⦹ᩡŁ, ᵝeݡᔢÕྜྷᨱHVAC᜽ᜅ▽ᯕa࠺⦹۵äᮝಽ

ᖅᱶ⦹ᩡ݅. ᳑໦ ၾʑ۵ 300(lux) ᖅᱶ⦹ᨩ݅.

ԕᇡ⪹Ğᨱᕽ≉ाၰᗱᝅ᳑Õᮡᰍᝅᯱ᮹⪽࠺ప, ᳑໦ၰ

ʑʑᨱ ঑ෙ ≉ाప əญŁ ⋉ʑᮉᨱ ঑ෙ ᗱᝅ ॒ ᖙ aḡಽ

ӹڹ໑, ⧕ݚŖeᨱᯩ۵᳕ᰍ⦹۵ᰍᝅᯱᙹ۵᧞54໦ᮝಽ⠪ᔢ᜽

ၽᩕᇡ⦹ᯙ70W/hrᮝಽᖅᱶ⦹ᩡ݅. ੱ⦽᳑໦ၡࠥ۵5W/m²ಽ៉

ᖅᱶ Ŗeᨱ ႑⇽ࡹ۵ ᩕపsᮥ Radiant fractionŝ Visible fractionᮝಽࢱaḡಽӹ٥ᨩᮝ໑, bb0.420ŝ0.180ᮝಽᖅᱶ

⦹ᩡ݅. ⋉ʑၰ⪹ʑపᮡÕྜྷ✚ᖒၰ3⊖ᔍᬊᬊ॒ࠥᨱ঑ෙ

Ŗe✚ᖒᔢ ၙ⊹۵ ᩢ⨆ᯕᱢŁ ᩑǍ᮹ ༊ᱢᔢ⪹ʑ᮹ ᄡᙹෝ

Łᱶ⦹۵äᯕ᦭Łญ᷹ᇥᕾᨱᮁญ⦹ᩍᱽ᫙⦹ᩡ݅. ษḡสᮝಽ

HVAC ᜽ᜅ▽ᨱݡ⦽ᖅᱶ᳑ÕᮝಽHVAC ᖅእ⩶᜾ᮡDual duct VAV (Variable Air Volume)ᮝಽᖅᱶ⦹ᩡᮝ໑, ᖅእᔢ┽

۵IdeaLoadAirSystemᮝಽᖅᱶ⦹ᩡ݅. ᯕ۵ݡᔢÕྜྷᨱᖅ⊹⦽

HVAC system šಉᖅእᔢ┽aᯕᔢᱢᯕ௝Łaᱶ⦽äᯕᨕᕽ

HVACᖅእ᮹⬉ᮉᮥ1ಽᖅᱶ⦹ᩡ݅. ŖɪŖʑపᮡ1.75m³/sᯕ݅.

HVAC ᱽᨕ┡ᯥᜅ⍡ᵥᮡ7ᬵ15ᯝݚᯝ⦹൉ෝݡᔢᮝಽ

⦹ᩡŁ, ݡᔢÕྜྷ᮹ᨱթḡ᜽ဍ౩ᯕᖹʑeᩎ᜽ᯕ᪡zíᱢᬊ⦹

ᩡ݅. ੱ⦽, Õྜྷᨱթḡ᜽ဍ౩ᯕᖹ᜽ݡᔢÕྜྷ᮹᭥⊹ᨱ঑௝ᕽ

(6)

Fig. 7. Method of applying the GAs to correct between simulation and actual values

Table 4. Input variable compensation value

Input value Initial Corrected Occupant

& Action Equipment Energy consumption

(w/m²) 11 20

HVAC Design Flow rate (m³/s) 1.75 0.3

efficient 1 0.75

Building Materials

Thermal conductivity of

the wall (W/m·K) 0.036 0.012 Thermal conductivity of

the roof (W/m·K) 0.021 0.010 mal conductivity of

the bottom (W/m·K) 0.041 0.013 ḡᩎʑ⬥ߑᯕ░ෝᖅᱶ⧁ᙹᯩᮝ໑, ᯕჩᇥᕾᮥ᭥⦽ݡᔢÕྜྷ᮹

᭥⊹۵ᕽᬙಽᖅᱶ⦹ᩡ݅. ʑ⬥ߑᯕ░۵ၙǎDOEᨱᕽอॅᨕ

႑⡍⦹Łᯩ۵ߑᯕ░ෝ⪽ᬊ⦹ᩍ, Õྜྷᨱթḡ᜽ဍ౩ᯕᖹᮥḥ⧪

⦹ᩡ݅. ᅙᩑǍ۵ݡᔢÕྜྷ᮹3⊖❱ๅŖeᮥᇥᕾŖeᮝಽᖅᱶ

⦹ᩡ݅. Fig. 6ᮡ ᇥᕾŖeᮥ ӹ┡ԙ݅.

3.5. କୢୀੵճࠤஶଡୡ૳෉ਓ౸԰࣪୨ 3.5.1 MatlabրEnergyPlus ઴ܛ

ᮁᱥᯱ᦭Łญ᷹ᮥ⪽ᬊ⦹ᩍ↽ᱢ⧕ෝ┱ᔪ⦹ʑ᭥⧕ᕽ۵əᨱ

ᱢ⧊⦽༊ᱢ⧉ᙹa⦥᫵⦹݅. ᅙᩑǍᨱᕽ༊ᱢ⧉ᙹಽݡᔢÕྜྷᨱ

ݡ⦽Õྜྷᨱթḡ᜽ဍ౩ᯕᖹ༉ߙಽᖅᱶ⦹ᩡᮝ໑, Matlabԕᨱ

Ǎ⇶ࡹᨕᯩ۵ᮁᱥᯱ᦭Łญ᷹ᮥᩑ࠺⦹ʑ᭥⧕ᕽÕྜྷᨱթḡ᜽

ဍ౩ᯕᖹ⥥ಽəఉᯙEnergyPlus᪡Matlab᮹ᩑ࠺ᯕ⦥᫵⦹݅.

ᮁᱥᯱ᦭Łญ᷹ᮥ⪽ᬊ⧁᜽ᨱ↽ᱢsᨱݡ⦽ɝÑෝ❱݉⦹ʑ

᭥⧕༊ᱢ⧉ᙹᨱᖁ┾, Ʊ႑, ᄡᯕࡽᯙᯱॅᯕ༊ᱢ⧉ᙹᨱ᯦ಆ⦹

ᩍ, əsᮥእƱ⧕᧝⦹໑, ᯕෝ᭥⧕༊ᱢ⧉ᙹಽᖅᱶࡽ⥥ಽəఉ ᯕMatlabᨱᕽǍ࠺⦹ᩍ᧝⦽݅. Matlabԕ໦ಚᨕᯙ‘System’ᮥ

⪽ᬊ⦹໕Matlab ԕᇡᨱᕽ݅ෙ⥥ಽəఉᮥᝅ⧪᜽┅Łᵲḡ᜽┍

ᙹᯩ݅. ᯕෝᔍᬊ⦹ᩍᮁᱥᯱ᦭Łญ᷹᮹༊ᱢ⧉ᙹᯙݡᔢÕྜྷ᮹

ᨱթḡ᜽ဍ౩ᯕᖹ༉ߙᮥMatlabᨱᕽǍ࠺⧁ᙹᯩᮝ໑, ᮁᱥᯱ

᦭Łญ᷹ḥ⧪ᨱ঑௝ၹᅖᱢᯙ⬥ᗮᖙݡ᮹ḥ⧪ᮥ☖⧕ᕽᨱթḡ

↽ᗭaࡹ۵ɪʑ᪉ࠥෝ┱ᔪ⦹ᩍ, ᨱթḡ↽ᱢsᮥอ᳒⦹۵ɪʑ ᪉ࠥa ࠥ⇽ࡽ݅.

3.5.2 ਓ౸԰ଡଲ૳෉઩٪஺ਏ࢘ߑଲ঵଺ߚ࣡৤࣪୨԰ܑౢ

ݡᔢÕྜྷᯕᝅᱽಽᗭ༉⦽ᨱթḡ᮹⩶┽ၰపᮡᅕᱶ⦹ḡ

ᦫᮡᨱթḡ᜽ဍ౩ᯕᖹ༉ߙŝ۵₉ᯕaᯩᮥᙹᯩ݅. ঑௝ᕽ

ᯕෝ ᅕᱶ⦹ʑ ᭥⧕ ԕᇡ ၰ ᫙ᇡᨱᕽ Ŗɪ ၰ ႊ⇽ࡹ۵ ᩕప

ᵲ₉ᯕaᯩᮥᙹᯩ۵sॅᮥŉ௝ᄡᙹಽḡᱶ⦹ᩍGAෝᯕᬊ⧕

ᅕᱶ⦹ᩡ݅. ᅕᱶࡽsᨱᕽݡᔢÕྜྷᨱᕽᗭ༉ࡹ۵Ԫႊᨱթḡ۵

aᰆ᯲ᮡsᮥwíࡽ݅. Eq. (1)ᮥᯕᬊ⦹ᩍᅕᱶsᮥᱢᬊ⦹۵

ႊᦩᮡ Fig. 7ŝ z݅.

ç∻⵸୩à ᳛⁴୩çn × (1)

ᮁᱥᯱ᦭Łญ᷹ᮥᯕᬊ⦹ᩍᝅ⊂sݡ⦽ᅕᱶ᫵ᗭ᮹ᖅᱶ⊹

đŝ۵Table 4ᨱӹ┡ԕᨩᮝ໑, ʑʑၽᩕపᮡݡᔢŖeᯕ❱ๅ

Ŗeᮝಽ⪽ᬊࡹŁᯩᨕ, ᙝ⍡ᯕᜅၰḥᩕᰆŝzᮡ❱ๅ᜽ᖅ᮹

ၽᩕಽᯙ⧕᷾a⦹۵äᮝಽᅕᯙ݅. ੱ⦽ʑ᳕᮹HVAC ᜽ᜅ▽᮹

י⬥ၰ✚ᯕᖒᮥŁಅ⦹ʑ᭥⧕Design Flow rate᪡Efficientෝ

ᅕᱶ᫵ᗭಽǍᇥ⦹ᩡᮝ໑, əᨱݡ⦽đŝ۵Design Flow rate۵

1.75ᨱᕽ0.3ᮝಽ, efficient۵1ᨱᕽ0.75ಽӹ┡ԍ݅. ⇵aᱢᮝಽ

ݡᔢÕྜྷ᮹ᄞℕ᮹ᩕᱥࠥᮉᮥᅕᱶ⦹ᩡ݅. əđŝᄞℕᩕᱥࠥᮉ

ᮡⅩʑᖅᱶ⊹ᨱእ⧕ԏᦥᲭŁ, ၵ݆ၰ⃽ᰆᇡᇥᮡⅩʑᖅᱶ⊹ᨱ

እ⧕ ׳í ӹ┡ԍ݅.

3.5.3 ࣪୨บܑౢܤէր૕ਓ౸ܤ઩٪஺ীࡦଵ౿ܑ

Eq. (2)ෝᯕᬊ⦹ᩍᅕᱶsŝᝅ⊂sŝ᮹ᨱթḡపᮥእƱ⧕ᅙ

đŝ᧞5.17%᮹₉ᯕෝᅕᩡ݅. ᯕ۵ᝅᱽsŝᅕᱶࡽ᜽ဍ౩ᯕᖹ

đŝs᮹ᯝ⊹ᮉᯕ᧞95%ಽ៉⢽ᵡ⠙₉ԕᨱᕽᮁ⬉⦽đŝෝ

᨜ᨩ݅Ł ᅝ ᙹ ᯩ݅.

7ᬵ1ᯝᇡ░7ᬵ31ᯝʭḡ⊂ᱶࡽᨱթḡᗭእపᮥʑᵡᮝಽ

ᅕᱶ⦹Ł8ᬵ7ᯝᇡ░12ᯝʭḡෝእƱ⦹ᩍá᷾⦹ᩡᮝ໑⊂ᱶ sŝ᜽ဍ౩ᯕᖹđŝsᮥእƱ⦹໕Fig. 8ŝz݅. ݅อ, ə௹⥥

᮹ᯝᇡǍeᨱᕽᯝ⊹⦹ḡᦫ۵ᇡᇥᮡ}ℕၰᖙݡᙹᖁ┾ᯕ

∊ᇥ⦹ḡ ᦫᦥ ၽᔾ⦽ ᪅₉ᯕ݅.

ç᱋❬୩❛Ⰻ┧ၟ⤗ᜠà ∻⵸୩❛Ⰻ┧ၟ⤗ᜠ^{∻⵸୩❛Ⰻ┧ၟ⤗ᜠ} çZÎ×× á ÒíÎÔÜ (2)

(7)

Fig. 8. Difference of energy consumption applying corrected values and actural data

Fig. 9. Using a GA to find the HVAC supply air temperature

Fig. 10. HVAC control time schedule of supply air temperature

3.6 କୢୀੵճࠤஶଡୡ૳෉ਆಧரܑౢ

3.6.1 କୢୀੵճࠤஶୡ૳ࢺੲ

┱ᔪŖeࡹ۵༉Ḳ݉ᮡŖɪ᪉ࠥಽ, ᨱթḡ᜽ဍ౩ᯕᖹ⥥ಽə ఉᮥ༊ᱢ⧉ᙹಽᖅᱶ⦹ᩍᮁᱥᯱ᦭Łญ᷹ᮥᱢᬊࡹᨩ݅. ᯕෝ

☖⧕༉Ḳ݉ᨱᕽ۵ᮁᱥᯱ᦭Łญ᷹᮹⩶᜾ᨱ฿⇵ᨕᖁ┾, Ʊ႑, ᄡᯕෝÑℱ༊ᱢ⧉ᙹᨱ↽ᱢ⧕ෝ┱ᔪ⦹໑, ┱ᔪ⦽᳑Õᯕ↽ᗭ

ᨱթḡ ᗭ᫵᧲ᯙḡ ᩍᇡෝ ⪶ᯙ⦹۵ ŝᱶᮥ ☖⧕ ḥ⧪ࡽ݅. ᅙ

ᩑǍᨱᕽ۵ ᖁ┾༉Ḳ݉}ᙹෝ50}, ᖙݡᙹ۵5ᖙݡಽᖅᱶࡹᨩ

݅. ʑeᮡ7ᬵ15ᯝ⦹൉ಽ៉ᮁᱥᯱ᦭Łญ᷹ᮥᜅ⍡ᷕࠥ⇽ᨱ

ᱢᬊ᜽┅۵ ႊᦩᮡ Fig. 9᪡ z݅.

3.6.2 କୢୀੵճࠤஶୡ૳էր

GAᱢᬊᨱ঑ෙᗭእᨱթḡ᧲, ᝅᱽĥ⊂ࡽᗭእᨱթḡ᧲, ᫙ʑ ᪉ࠥ, ɪʑ᪉ࠥᜅ⍡ᵥ, ԕᇡ᪉ࠥෝ7ᬵ15ᯝ24᜽e࠺ᦩᄡ⪵ෝ

Fig. 10ŝz݅. ᝅԕ᪉ࠥ۵ᵝe᜽eݡᨱ25ⳃ, ᧝e᜽eݡᨱ۵

12ⳃಽᖅᱶࡹᨕᯩᮝ໑, ᪅ᱥ6᜽ෝʑᱱᮝಽᝅԕ᪉ࠥෝᱢᱶ

ᙹᵡʭḡ฿⇵ʑ᭥⧕ᨱթḡᗭ᫵పᯕ᷾a⦹ᩡᮝӹ, əᯕ⬥ᨱ۵

ᨱթḡᗭ᫵aqᗭ⧉ᮥᅝᙹᯩ݅. ᯕෝᝅᱽ⊂ᱶߑᯕ░sŝ

እƱ⦹ʑ ᭥⧕ 24ᯝe ᨱթḡ ᗭ᫵᮹ ⧊ᮥ እƱ⦹ᩡᮝ໑, Eqs.

(3) and (4)ෝ ᯕᬊ⦹ᩍ đŝෝ Ǎ⦹ᩡ݅.

᱋❬୩❛Ⰻ┧ၟ⤗ᜠ

᱋❬୩❛Ⰻ┧ၟ⤗ᜠà Ƒ❘☀❛Ⰻ┧ၟ⤗ᜠZÎ×× á ÓíÐ×Ü (3)

∻⵸୩❛Ⰻ┧ၟ⤗ᜠ

∻⵸୩❛Ⰻ┧ၟ⤗ᜠà Ƒ❘☀❛Ⰻ┧ၟ⤗ᜠZÎ×× á ÒíÑÑÜ (4)

đŝᱢᮝಽ᧞5.44%᮹ᨱթḡᗭ᫵aqᗭ⧉ᮥᅝᙹᯩᨩ݅.

ᯕ۵BEMS ᯦ࠥᨱ᮹⦽ᨱթḡᱩq⬉ŝ۵Łಅࡹḡᦫᮡđŝಽ

៉, ᅙᩑǍᨱᱢᬊࡽᨱթḡᱩqʑჶᮡBEMS᯦ࠥ᮹⬉ŝᨱ

޵⧕Კ ⇵aᱢᯙ ᨱթḡ ᱩq ᫵ᗭa ࢁ äᮝಽ ❱݉⦽݅.

5. đು

↽ɝʑ⬥ᄡ⪵ၰᨱթḡŁiྙᱽ۵ᨱթḡᱩqၰ┥ᗭ႑⇽

ᱡqᨱݡ⦽ฯᮡšᝍᮥᇩ్ᯝᮝ┅Łᯩ݅. ǎaᄥᨱթḡᔍᬊᇥ

⡍ෝᔕ⠕ᅕ໕ ᱥℕ ᔍᬊపᵲ ฯᮡ ᇡᇥᯕÕྜྷᨱᕽ ᗭእࡹŁ

ᯩᮝ໑, ✚⯩HVAC᜽ᜅ▽ᨱᕽฯᯕᗭእ⦹۵äᮝಽӹ┡ԍ݅.

ᅙםྙᨱᕽ۵ÕྜྷԕHVAC ᜽ᜅ▽ᱽᨕၰšญෝ☖⧕Õྜྷ

ᗭእᨱթḡ⬉ᮉ⪵ݍᖒᮥ༊⢽ಽ⦽݅. ᯕෝ᭥⧕Õྜྷᨱթḡ

᜽ဍ౩ᯕᖹ⥥ಽəఉŝᮁᱥᯱ᦭Łญ᷹ᮥᯕᬊ⦹ᩍÕྜྷᨱթḡ

ᗭ༉ෝ ↽ᱢ⪵ ⦹۵ HVAC ᜽ᜅ▽᮹ ɪʑ᪉ࠥ ᱽᨕ ᜅ⍡ᵥᮥ

ࠥ⇽⦹ᩡ݅. ݡᔢÕྜྷ᮹⩶ᔢᱶᅕၰᰍḩᱶᅕෝBIMᮝಽǍ⇶⦹

ᩍ, ᯕෝÕྜྷᨱթḡ᜽ဍ౩ᯕᖹᨱᱢᬊ⦹ᩡ݅. ᯕভ᜽ဍ౩ᯕᖹŝ

ᝅᱽᨱթḡᗭእపŝ᮹᪅₉aၽᔾ⦹໑, ᮁᱥᯱ᦭Łญ᷹ᮥᯕᬊ

⦽ᅕᱶᮥ☖⧕ᝅᱽᗭእపŝ᮹₉ᯕ۵5% ᯕԕಽᅕᱶ⦹ᩡ݅.

ᅕᱶࡽݡᔢÕྜྷ᮹ᨱթḡ᜽ဍ౩ᯕᖹ༉ߙᮥ☖⧕HVAC ᜽ᜅ▽

᮹ɪʑ᪉ࠥᜅ⍡ᵥᮥࠥ⇽⦹ᩡŁ, BEMSᨱᱢᬊ⧁Ğᬑ᜽ဍ౩ᯕ

(8)

ᖹᔢᮝಽ3%᮹ᱩq⬉ŝaᯩᨩ݅. ᯕ⬉ŝ۵ʑᅙᱢᮝಽBEMS ᖅ⊹᜽aᲙ᪅۵ᨱթḡᱩq⬉ŝᨱ⇵aᱢᯙ᫵ᗭaࢁäᯕ݅.

ᅙᩑǍᨱᕽӹ┡ӽ⦽ĥᱱᮡ݅ᮭŝzᯕօaḡಽ❱݉⦽݅.

ℌṙ, ÕྜྷᨱǍ⇶ࡽBEMSᨱᕽᝅᱽᱽᨕa܆⦽᫵ᗭၹᩢᯕ

ᯕ൉ᨕḡḡ ᦫᦹ݅. ࢹṙ, Õྜྷ ᨱթḡ ᜽ဍ౩ᯕᖹ ⥥ಽəఉᨱ

ᮁᱥᯱ ᦭Łญ᷹ᱢᬊ ᜽↽ᱢsᮥࠥ⇽⦹۵┱ᔪ᜽eᯕᰆ᜽e

ᗭ᫵ࡽ݅۵äᯕ݅. ᖬṙ, ᝅ⊂sŝ᜽ဍ౩ᯕᖹe᪅₉ᨱݡ⦽

޵ᱶ⪶⦽ᅕᱶᯕ᫵Ǎࡽ݅. ֘ṙ, ᝅᱽÕྜྷᨱᕽ⊂ᱶࡹ۵ʑᔢߑᯕ

░a ၹᩢࡹḡ ᦫᮡ ᱱᯕ݅.

᭥ᨱᕽᱽ᜽⦽⦽ĥᱱᮥᅕ᪥⦹۵ႊᦩᮝಽ⇵⬥ᩑǍaḥ⧪ࢁ

äᯕ݅. ℌṙ, ᝅᱽBEMSᨱᱢᬊᮥ᭥⧕ᱽᨕa܆᫵ᗭෝ❭ᦦ⦹

Ł, ə᫵ᗭᨱݡ⦽↽ᱢ⪵ᜅ⍡ᵥᮥࠥ⇽ၰᱢᬊᯕ⦥᫵⦹݅. ࢹ ṙ, ᮁᱥᯱ᦭Łญ᷹ᮥᯕᬊ⦽↽ᱢ⧕┱ᔪᮥ݉⇶᜽┅ʑ᭥⦽ႊ

ᦩࠥ⇽⧁äᯕ݅. ᖬṙ, ݡᔢÕྜྷᨱᕽĥ⊂ࡽʑ⬥ᱶᅕෝᯕᬊ⦹ᩍ

Õྜྷᨱթḡ᜽ဍ౩ᯕᖹᮥa܆⍡⦹۵ᩑǍaḥ⧪ࡹᨕ᧝⦽݅.

᭥ᨱᕽ ᨙɪ⦽ ᩑǍෝ ⇵aಽ ḥ⧪⦹ᩍ, ݡᔢÕྜྷᨱ Ǎ⇶ࡽ

BEMS᮹ᱽᨕၰšญෝ☖⦽Õྜྷᨱթḡᱩq⬉ŝෝ᯦᷾⦹í

ࡹ໕, ⇵⬥BEMS ᅕɪᮥ⪽ᖒ⪵aa܆⧁äᮝಽ❱݉ࡽ݅. ᯕ۵

ࠥ᜽ ԕ ┥ᗭᱡqᮥ ᝅ⩥⦹Ł, ᜅษ✙ əฑ ᜽❑ಽ ၽᱥ⦹۵ߑ

ᵝࠥᱢᯙ ᩎ⧁ᮥ ⧁ äᯕ݅.

qᔍ᮹ɡ

ᅙᩑǍ۵ǎ☁⧕᧲ᇡ᮹u-City ᕾ· ၶᔍŝᱶḡᬱᔍᨦ, ǎ☁⧕

᧲ᇡ℉݉ࠥ᜽}ၽᔍᨦ(11℉݉ࠥ᜽G04), 2011֥ࠥḡ᜾Ğᱽᇡ

ḡ᜾Ğᱽ R&Dᱥఖʑ⫮݉(OSP)No.2011T100100022)᮹ ᩑǍ እḡᬱᨱ ᮹⧕ ᙹ⧪ࡹᨩ᜖ܩ݅.

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