LAPSE:2023.6384
Published Article
LAPSE:2023.6384
Assessment of the Electric Demand Management Potential of Educational Buildings’ Mechanical Ventilation Systems
Kalevi Härkönen, Lea Hannola, Jukka Lassila, Mika Luoranen
February 23, 2023
Abstract
Demand management is expected to reduce emissions from energy systems and support the utilization of renewable energy sources. In this paper, the focus is on the viability of educational buildings’ mechanical ventilation systems’ participation in electric demand management. The results suggest that when load shedding lasts for a short duration, the ventilation machine load seems more promising than expected for electric demand management, as even 60% of its electric power could be granted to such markets. Prolonging the load-shedding duration increases the risk of the indoor carbon dioxide (CO2) concentration exceeding the limit for good indoor air quality. This paper contributes to the academic community by providing information for the assessment of the demand management potential of buildings and eventually their significance in decarbonizing the electric energy system and filling research gaps concerning the impact of implementing demand management that involves a reduction in ventilation rate.
Keywords
building automation system, demand management, indoor air quality
Suggested Citation
Härkönen K, Hannola L, Lassila J, Luoranen M. Assessment of the Electric Demand Management Potential of Educational Buildings’ Mechanical Ventilation Systems. (2023). LAPSE:2023.6384
Author Affiliations
Härkönen K: Urban Environment Division, City of Helsinki, Työpajankatu 8, 00580 Helsinki, Finland [ORCID]
Hannola L: School of Business and Management, LUT University, Yliopistonkatu 34, 53850 Lappeenranta, Finland [ORCID]
Lassila J: School of Business and Management, LUT University, Yliopistonkatu 34, 53850 Lappeenranta, Finland
Luoranen M: School of Business and Management, LUT University, Yliopistonkatu 34, 53850 Lappeenranta, Finland
Journal Name
Energies
Volume
16
Issue
1
First Page
85
Year
2022
Publication Date
2022-12-21
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en16010085, Publication Type: Journal Article
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LAPSE:2023.6384
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https://doi.org/10.3390/en16010085
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