Expansion of the Prosumer's Heating System in the Context of the Transition to Carbon-Free Energy

Authors

  • V.B. Tashlykova Melentiev Energy Systems Institute SB RAS, Irkutsk, Russia
  • V.A. Stennikov Melentiev Energy Systems Institute SB RAS, Irkutsk, Russia
  • E.A. Barakhtenko Melentiev Energy Systems Institute SB RAS, Irkutsk, Russia
  • D.V. Sokolov Melentiev Energy Systems Institute SB RAS, Irkutsk, Russia

DOI:

https://doi.org/10.25729/esr.2024.04.0007

Keywords:

Prosumer, intelligent integrated energy system, distributed energy, mixed integer programming

Abstract

The paper discusses the key points to be considered when selecting an additional heat source as part of an intelligent integrated energy system. Modeling prosumers poses a number of challenges related to the implementation of their functional properties, especially when the prosumers manage their distributed energy resources.  The transition to carbon-free energy in the heating sector implies the use of renewables, alternative heat sources, and electric heating. It is known that peak times of heat and electricity consumption mostly coincide, thus putting high stress on the energy system. If electric heating is the only heat source, even a short-term power outage halts the heating. Therefore, an additional source of heat is needed that will reduce the loads served by the power system and yield sizable annual cost savings. To that end, it is important to analyze the effects of various suitable sources that do not emit pollutants during operation. For this purpose, we consider possible configurations of heat sources and analyze them with respect to their energy efficiency and economic feasibility. This study presents a mathematical model of the prosumer. The model takes into account the constraints on heat generation from renewable sources, incorporates thermal energy storage into the arrangement of heat sources, adheres to the energy balance constraints, and finds the optimal option of heat network configuration. Mixed integer programming is utilized to formulate and solve the problem of the prosumer's heat network expansion in the context of the transition to carbon-free energy. As a result of the optimization, an additional source is selected to complement the main source, which notably reduces heating costs.

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Published

2024-12-28