Optimal planning tool for zero energy district

Genku Kayo, Ala Hasan, Ivo Martinac, Risto Lahdelma

Research output: Contribution to conferenceConference articleScientific

Abstract

This approach has the potential to increase energy efficiency, renewable and local resource application. This research work describes the development of optimal planning tool with on-site energy management model and the analysis of case study existing campus building stocks. This research focuses on the boundary of the building, thereby not being limited to only a single building but spanning over a cluster of buildings, so called "Zero Energy District". Using the developed methodology, the optimal CHP capacity for each building, optimal capacity distribution in the boundary for minimizing annual primary energy consumption was simulated. The series of results in case study show that the on-site energy generation has potential to reduce primary energy consumption and it is more effective by integrating buildings. Moreover, the proposed model makes it possible to utilize the measured database of existing building stocks for planning energy efficiency improvement in the campus.
Original languageEnglish
Number of pages9
Publication statusPublished - 2016
MoE publication typeNot Eligible
Event3rd IBPSA-England Building Simulation & Optimization, BSO 2016 - Newcastle, United Kingdom
Duration: 12 Sep 201614 Sep 2016

Conference

Conference3rd IBPSA-England Building Simulation & Optimization, BSO 2016
Abbreviated titleBSO 2016
CountryUnited Kingdom
CityNewcastle
Period12/09/1614/09/16

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Energy efficiency
Energy utilization
Planning
Energy management

Cite this

Kayo, G., Hasan, A., Martinac, I., & Lahdelma, R. (2016). Optimal planning tool for zero energy district. Paper presented at 3rd IBPSA-England Building Simulation & Optimization, BSO 2016, Newcastle, United Kingdom.
Kayo, Genku ; Hasan, Ala ; Martinac, Ivo ; Lahdelma, Risto. / Optimal planning tool for zero energy district. Paper presented at 3rd IBPSA-England Building Simulation & Optimization, BSO 2016, Newcastle, United Kingdom.9 p.
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Kayo, G, Hasan, A, Martinac, I & Lahdelma, R 2016, 'Optimal planning tool for zero energy district' Paper presented at 3rd IBPSA-England Building Simulation & Optimization, BSO 2016, Newcastle, United Kingdom, 12/09/16 - 14/09/16, .

Optimal planning tool for zero energy district. / Kayo, Genku; Hasan, Ala; Martinac, Ivo; Lahdelma, Risto.

2016. Paper presented at 3rd IBPSA-England Building Simulation & Optimization, BSO 2016, Newcastle, United Kingdom.

Research output: Contribution to conferenceConference articleScientific

TY - CONF

T1 - Optimal planning tool for zero energy district

AU - Kayo, Genku

AU - Hasan, Ala

AU - Martinac, Ivo

AU - Lahdelma, Risto

N1 - HUO: Online proceedings, no ISSN/ISBN Project code: 101017

PY - 2016

Y1 - 2016

N2 - This approach has the potential to increase energy efficiency, renewable and local resource application. This research work describes the development of optimal planning tool with on-site energy management model and the analysis of case study existing campus building stocks. This research focuses on the boundary of the building, thereby not being limited to only a single building but spanning over a cluster of buildings, so called "Zero Energy District". Using the developed methodology, the optimal CHP capacity for each building, optimal capacity distribution in the boundary for minimizing annual primary energy consumption was simulated. The series of results in case study show that the on-site energy generation has potential to reduce primary energy consumption and it is more effective by integrating buildings. Moreover, the proposed model makes it possible to utilize the measured database of existing building stocks for planning energy efficiency improvement in the campus.

AB - This approach has the potential to increase energy efficiency, renewable and local resource application. This research work describes the development of optimal planning tool with on-site energy management model and the analysis of case study existing campus building stocks. This research focuses on the boundary of the building, thereby not being limited to only a single building but spanning over a cluster of buildings, so called "Zero Energy District". Using the developed methodology, the optimal CHP capacity for each building, optimal capacity distribution in the boundary for minimizing annual primary energy consumption was simulated. The series of results in case study show that the on-site energy generation has potential to reduce primary energy consumption and it is more effective by integrating buildings. Moreover, the proposed model makes it possible to utilize the measured database of existing building stocks for planning energy efficiency improvement in the campus.

M3 - Conference article

ER -

Kayo G, Hasan A, Martinac I, Lahdelma R. Optimal planning tool for zero energy district. 2016. Paper presented at 3rd IBPSA-England Building Simulation & Optimization, BSO 2016, Newcastle, United Kingdom.