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Economic Aspect of Hybrid Heating and Cooling Systems in a Residential Building
University of Parma, Italy.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. (Future Energy Center)ORCID iD: 0000-0001-5520-739X
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0001-9426-4792
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. (Future Energy Center)ORCID iD: 0000-0002-8466-356X
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

District heating is a well-established technology; however, the use of individual heat pumps has been expanding and is now the main competitor to district heating. The prices for both electricity and district heating often vary over time because of the variation of raw material prices in the marketplace. Consequently, for the building owner it would be cost effective if they had the possibility to integrate both district heating and heat pumps. Aiding in the flexibility to switch between the two systems in order to choose the one with the lowest operating cost throughout the year. In the presented work, the modeling and control of a detached house integrated with both district heating and a heat pump are developed. The operating costs of both systems are computed considering the marketplace prices and the coefficient of performance of the heat pump, related to the external temperature. The results show that heat pumps can be well exploited during the spring and fall to cover base loads, and in the summer can be used for ambient cooling.

Place, publisher, year, edition, pages
2019.
Keywords [en]
dynamic modelling, control, district heating and cooling system, heat pump, financial analysis
National Category
Energy Systems
Research subject
Energy- and Environmental Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-47251OAI: oai:DiVA.org:mdh-47251DiVA, id: diva2:1413822
Conference
International Conference on Applied Energy 2019 Aug 12‐15, 2019, Västerås, Sweden
Available from: 2020-03-11 Created: 2020-03-11 Last updated: 2022-11-09Bibliographically approved
In thesis
1. Modelling Towards Control of Dynamic Systems: Applications on RDF Fired CFB Performance and DHN Distribution
Open this publication in new window or tab >>Modelling Towards Control of Dynamic Systems: Applications on RDF Fired CFB Performance and DHN Distribution
2020 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The combination of global warming along with increasing energy demand necessitates the importance of improving processes pertaining to the production and consumption of energy in combined heat and power plants. This thesis brings to light transient factors currently burdening process performance for circulating fluidized bed boilers (CFBs) combusting refuse derived fuels (RDFs) and district heating networks (DHN). These two domains are not completely disconnected from one another, which is the case for Northern European countries. Heat can be generated from a central location to be distributed through a network of customers to meet a heating demand. Results show that first-principle modelling techniques have the capacity to capture transients factors associated within the aforementioned entwined energy systems.

On the production side, obtaining real-time information pertaining to the lower heating value of refuse derived fuel affords the ability to implement feed-forward model predictive control. Therefore, feed-forward model predictive control has the potential to minimize combustion temperature swings by making the necessary controls moves before changes in the fuel’s composition are actualized by the process. On the consumption side, attaining a deeper understanding of district heating network dynamics, e.g. heat propagation, network losses, distribution delays, and end-user requirements, introduces the possibility to analyse network performance and reduce peak load production. The perspective of quick network performance can be achieved by an automated approach to building and simulating district heating networks. Nonconventional end-user heating configurations, e.g. homes utilizing district heating and a heat pump, has the potential of illustrating how heating consumption patterns may change over time. Peak load reduction is achievable in district heating networks when it is possible to reduce network supply temperature. This can be achieved by predicting end-user heating requirements and using this information for feed-forward model predictive control.

The overall observations made in this thesis demonstrates that process improvements are obtainable for transient energy systems. Despite the presented work focusing on only one type of energy production and one type of consumption, the approach described unlocks a flexibility that eliminates the need for unambiguous modelling and simulations by allowing for the reusability of model components. The exportability of these models further distinguishes them, as they can be used to test new control approaches within an energy system as real-time predictions within each energy sub-system become more accessible.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2020
Series
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 319
Keywords
Heat and Power, Circulating Fluidized Bed Boiler, District Heating, Model Predictive Control, Feed-Forward, CHP
National Category
Energy Systems
Research subject
Energy- and Environmental Engineering
Identifiers
urn:nbn:se:mdh:diva-49538 (URN)978-91-7485-475-6 (ISBN)
Public defence
2020-09-29, Delta, Mälardalens högskola, Västerås, 09:15 (English)
Opponent
Supervisors
Projects
PolyPOSmart Flows
Funder
Knowledge FoundationVinnova
Available from: 2020-08-25 Created: 2020-08-18 Last updated: 2022-11-08Bibliographically approved

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Zimmerman, NathanVadiee, AmirKyprianidis, Konstantinos

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