Figure 2 - available via license: Creative Commons Attribution 4.0 International
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Average demand profiles per household for (a) electricity (adapted from [4] and [16]); (b) heating (adapted from [4] and [19]); (c) cooling (adapted from [17,18]); and (d) hot water (adapted from [4] and [19].
Source publication
This paper presents a framework for the use of variable pricing to control electricity im-ported/exported to/from both fixed and unfixed residential distributed energy resource (DER) network designs. The framework shows that networks utilizing much of their own energy, and importing little from the national grid, are barely affected by dynamic impo...
Contexts in source publication
Context 1
... information on weather data considered for the model are shown in Tables 2 and 3. The demand profiles considered for all utilities can be seen, as a function of the time of day and season, in Figure 2, constructed from data in [4,[16][17][18][19]. A representative day for each season (Spring, Summer, Autumn and Winter) is chosen in determining the demand profiles. ...
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Citations
... Further improvements could consider different import and export prices for the energy exchanged with the grid [45]. Thus, the benefits of the presence of the storage options ...
... Further improvements could consider different import and export prices for the energy exchanged with the grid [45]. Thus, the benefits of the presence of the storage options could be further explored by ensuring these exchanges are done in an optimal way. ...
This work presents the development of a decision-making strategy for fulfilling the power and heat demands of small residential neighborhoods. The decision on the optimal operation of a microgrid is based on the model predictive control (MPC) rolling horizon. In the design of the residential microgrid, the new approach different technologies, such as photovoltaic (PV) arrays, micro-combined heat and power (micro-CHP) units, conventional boilers and heat and electricity storage tanks are considered. Moreover, electricity transfer between the microgrid components and the national grid are possible. The MPC problem is formulated as a mixed integer linear programming (MILP) model. The proposed novel approach is applied to two case studies: one without electricity storage, and one integrated microgrid with electricity storage. The results show the benefits of considering the integrated microgrid, as well as the advantage of including electricity storage.
... A solution would be to focus the FIT incentives on low-emitting renewable solutions. Another option would be to study their price limits for implementation in a DER system, as discussed in Ref. [33]. ...
Different designs of distributed energy resources (DER) systems could lead to different performance in reducing cost, environmental impact or use of primary energy in residential networks. Hence, optimal design and management are important tasks to promote diffusion against the centralised grid. However, current operational models for such systems do not adequately analyse their complexity. This paper presents the results of a mixed-integer linear programming (MILP) model of distributed energy systems in the residential sector which builds up on previous work in this field. A superstructure optimisation model for design and operation of DER systems is obtained, providing a more holistic overview of such systems by including the following novel elements: a) Design and utilisation of a network with integrated heating/cooling pipelines and microgrid connections between neighbourhoods; b) Exploration of use of feed-in tariffs (FITs), renewable heat incentives (RHIs) and the ability to buy/sell from/to the national grid. It is shown that the (DER network mitigates around 30–40% of the CO2 emissions per household, compared with “traditional generation”. Money from FITs, RHIs and sales to the grid, as well as reduced grid purchases, make DER networks far more economical, and even profitable, compared to the traditional energy consumption.