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Cleaner energy supply structures for campus building clusters
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Building Service and Energy Systems.
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering.ORCID iD: 0000-0001-7073-2600
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Building Service and Energy Systems.
(English)Manuscript (preprint) (Other academic)
Abstract [en]

The comparison of building clusters based on energy and the quality of energy (exergy) is a

key aspect for determining steps towards cleaner energy supply structures. This paper

compares two building clusters based on an integrated approach that involves building and

energy system level analyses. The first cluster involves 8 buildings with diverse energy profiles

at the KTH Royal Institute of Technology campus, including faculty buildings, laboratories, and

a data center with waste heat recovery. The second cluster involves planned buildings in the

Albano district in the vicinity of the KTH campus that will be a joint area with lecture buildings

and accommodation for 3 universities in Stockholm. The present energy supply structure for

the campus and the surrounding urban area includes a local combined heat and power (CHP)

plant. The comparison of the building clusters involve analyses based on the Rational Exergy

Management Model. Four scenarios, which involve different shares for the existing CHP units,

new biofuel CHP unit, seawater heat pumps, peak load boilers, electric boilers, large scale

aquifer thermal energy storage, heat supply from solar collectors, and electricity and heat from

photovoltaic thermal arrays are devised for comparison. The scenarios have at most an exergy

match of 0.81. The paper concludes with useful results that are in line with the aims of IEA

Annex 64 on Optimised Performance of Energy Supply Systems with Exergy Principles.

National Category
Architecture
Research subject
Civil and Architectural Engineering
Identifiers
URN: urn:nbn:se:kth:diva-192955OAI: oai:DiVA.org:kth-192955DiVA: diva2:974025
Note

QC 20160923

Available from: 2016-09-23 Created: 2016-09-23 Last updated: 2016-09-26Bibliographically approved
In thesis
1. Optimal Design of District Energy Systems: a Multi-Objective Approach
Open this publication in new window or tab >>Optimal Design of District Energy Systems: a Multi-Objective Approach
2016 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The aim of this thesis is to develop a holistic approach to the optimal design of energy systems for building clusters or districts. The emerging Albano university campus, which is planned to be a vivid example of sustainable urban development, is used as a case study through collaboration with the property owners, Akademiska Hus and Svenska Bostäder. The design addresses aspects of energy performance, environmental performance, economic performance, and exergy performance of the energy system. A multi-objective optimization approach is applied to minimize objectives such as non-renewable primary energy consumptions, the greenhouse gas emissions, the life cycle cost, and the net exergy deficit. These objectives reflect both practical requirements and research interest. The optimization results are presented in the form of Pareto fronts, through which decision-makers can understand the options and limitations more clearly and ultimately make better and more informed decisions. Sensitivity analyses show that solutions could be sensitive to certain system parameters. To overcome this, a robust design optimization method is also developed and employed to find robust optimal solutions, which are less sensitive to the variation of system parameters. The influence of different preferences for objectives on the selection of optimal solutions is examined. Energy components of the selected solutions under different preference scenarios are analyzed, which illustrates the advantages and disadvantages of certain energy conversion technologies in the pursuit of various objectives. As optimal solutions depend on the system parameters, a parametric analysis is also conducted to investigate how the composition of optimal solutions varies to the changes of certain parameters. In virtue of the Rational Exergy Management Model (REMM), the planned buildings on the Albano campus are further compared to the existing buildings on KTH campus, based on energy and exergy analysis. Four proposed alternative energy supply scenarios as well as the present case are analyzed. REMM shows that the proposed scenarios have better levels of match between supply and demand of exergy and result in lower avoidable CO2 emissions, which promise cleaner energy structures.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2016. 43 p.
Series
TRITA-IES, 2016:05
Keyword
multi-objective optimization, robust design optimization, district energy
National Category
Architecture
Research subject
Civil and Architectural Engineering
Identifiers
urn:nbn:se:kth:diva-192948 (URN)978-91-7729-129-9 (ISBN)
Presentation
2016-10-14, Sal M108, Brinellvägen 23, Kungl Tekniska högskolan, Stockholm, 14:00 (English)
Opponent
Supervisors
Note

QC 20160923

Available from: 2016-09-23 Created: 2016-09-23 Last updated: 2016-09-23Bibliographically approved

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Björk, Folke

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