Behaviour Demand Response in District Heating—A Simulation-Based Assessment of Potential Energy Savings

Abstract

Behaviour Demand Response (BDR) is an approach that enables the adaptation of operation of the district heating assets to dynamic market and capacity constraints by asking building occupants to participate and temporarily alter their demand profiles. In this paper we will present an explicit behavioural occupant model that considers motivational factors beyond financial incentives and that integrates with the district heating simulation model of the CIT Bishopstown campus, which has been used as a testbed for the E2District project. Both models have been calibrated to reflect the actual occupant population and energy consumption of the campus for the 2018/2019 heating period. This allows an accurate simulation-based assessment of potential energy savings through different dynamic behaviour demand response (BDR) triggers. We will show how a generic district simulation model can be integrated with the occupant behaviour model to quantify the potential additional energy savings that can be achieved through better demand-side management of the heating system.

Advanced Control and Fault Detection Strategies for District Heating and Cooling Systems—A Review

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“…The residential category contains references that deal with energy flexibility in regards to residential consumers. The research primarily focuses on allocating and determining load flexibility based on behavioral patterns [30]. The unrelated category captures the entries based on an unrelated matter, e.g., material sciences, process design, etc.…”

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“…In such conditions, using the energy storage (ES) for increasing H-MG reliability can be effective [2][3][4]. The presence of the ES in the consumer locations, can reduce the amount of energy required during peak time [5][6][7]. On the other hand, H-MG during off-peak hours can supply the energy required from the ES.…”