Enabling Technologies for Sector Coupling: A Review on the Role of Heat Pumps and Thermal Energy Storage
Abstract
:1. Introduction
2. What Is Sector Coupling?
3. Thermal Grids: General Aspects
4. The Heat Pumps for Power-Thermal End-Use Sector Coupling
4.1. Generalities
- Supplying ancillary services for the grid (grid-driven); Heat pumps are employed in a grid to ensure that voltage remains within allowed limits [44]. Excessive load causes a decrease in voltage and vice versa. The voltage level often increases during daytime when electricity is being injected into the grid through solar PV. During times of over-voltage, the active power demand of heat pumps can be increased to keep the voltage within the allowed range while decreasing it during the low-voltage time period. Heat pumps also help in congestion management by reducing grid reinforcement, keeping the transformer load in pre-determined tolerance ranges [45,46] through a switch on/off of heat pumps pools. Finally, HPs act as demand-side management units and can be used for responsive loads during times of imbalances in the grid [47,48]. For such reserves, a mechanism has been developed in the electricity market, which helps in deciding which units to use. In most countries, a minimum limit has been set to participate in the reserve market (e.g., 5 MW in Germany and 10 MW in northern European countries). So, a pool of heat pumps is needed in order to take part in a reserve market. Such projects have been mentioned in the references [49,50,51]; however, on-field examples are limited and need deeper understanding [44,52];
- Enabling integration of power through RES at building, grid, or power system level (renewable energy-driven); As far as wind power is concerned, it was shown that it can be integrated with variable speed heat pumps at the building level and the required electricity from the grid can be reduced up to 95% [53,54]. At grid level, as wind power plants are installed with a capacity of over 1 MW, a large number of HP would be needed to use the generated electricity. It has been shown that such a pool of HP, being controlled in an optimal way, helps in absorbing the electricity generated from wind power and thus assists in reducing the need for peak capacity [43]. Hedegaard and Münster studied the influence of heat pumps in reducing the need for peak capacity investments of 300–600 MW, corresponding to the size of a large powerplant [30]. They concluded that the integration of HP in large wind power systems can facilitate in reducing system costs, fuel consumption, and carbon emissions. They also mentioned that HP, along with individual heat storage, contributes significantly to peak load shaving. For optimal operation of heat pumps, an external signal is required containing electricity prices or real-time wind power production, which helps in adjusting the operation of heat pumps. Another effect of a wide deployment of heat pumps is linked to the fact that, for the last few years, locally generated PV electricity has become cheaper, thus going toward decentralized generation. In this view, the main advantage of heat pumps is the possibility to fully adapt to a demand-response approach if combined with real-time information. For instance, PV generation, upon exceeding a threshold, can switch on the heat pump’s operation, thus increasing the use ratio of locally produced electricity from 30% to over 65% [55]. Finally, with the help of heat pumps, reduction in feed-in peaks in the grid are reported in the range of 30–55% [56,57];
- Operating under fluctuating electricity prices (price-driven); One of the features that make the electrification of the heating and cooling sector interesting from an economic point of view is that energy costs can be saved by taking advantage of low prices in the day-ahead market and additional revenues can be earned in the balancing market [58]. Indeed, electricity prices keep fluctuating on day to day basis (day-ahead pricing) or even throughout a day (real-time pricing). A predictive model or a scheduling algorithm is needed that considers the load profile and electricity prices in order to guarantee a smooth and cost-efficient operation of heat pumps. Different price schemes were applied in studies that included prices of electricity that remain static for a long time [59,60,61,62] or fluctuate after short intervals [31,63,64,65]. The aim is to minimize the annual cost of energy. Most studies focused on decentralized control and reported significant load shifting using price signals. Moreover, savings were reported ranging from 7% up to around 35% [66,67]. Studies were carried out on how to control the working of HP when electricity prices are known ahead of time. Having such a schedule of electricity prices leads toward the operation of HP during night time, since prices are low at that period of time. It should be noted that the operation of an HP at variable times based on ‘reducing cost of energy’ may cause a decrease in its efficiency. The reduction in efficiency can be mainly because of higher storage temperature, lower external temperatures during operation, and enhanced part-load ratios [43].
4.2. Application of Heat Pumps in DHC
4.3. Heat Pumps as Enabling Technology for Sector Coupling
- Heat source;
- Heat pump technology, i.e., the connection, sizing, and operating mode of the heat pump;
- Heating demand, which is linked to the need for a demand-response approach.
5. Thermal Energy Storage for Power-Thermal End-Use Sector Coupling
5.1. Application of TES in DHC
- Coping up with heat load variations due to demand side: DHC systems often face heat load variations that result in increased cost for heat/cold generation and an increase in greenhouse gas emissions because of use of fossil fuel use associated with the use of boilers as generators for peak load. In order to cope with heat load variations, thermal energy storage can smooth the peak heat loads;
- Coping up with variations in the generation side: which are mainly due to variable renewable energy sources, such as solar. As the penetration of renewables in the heating sector has increased in the past decade, the incorporation of thermal storage with the heating sector is crucial [99]. Moreover, different RESs have different time scales for variation (i.e., seasonal or daily) and therefore require different types of TES;
- Increasing flexibility of system: Integration of thermal energy storage with district heating increases the flexibility of the system. Flexibility in terms of district heating can be defined as the capacity to shift the energy supply in terms of time, temperature levels, and power levels [100];
- Less infrastructure for DHC: Connecting TES to DHC networks allows for the use of a shorter pipe size for the distribution network [101]. When TES is installed on the primary line, it helps in overcoming the issues related to mass flow circulation. Water can be circulated at lower flow rates, which allow for smaller pipe size, thus reducing the associated pumping costs;
- Energy savings and reduction in greenhouse gases: the application of TES systems in buildings, industry, and DHC systems not only provide an annual energy saving but also helps in reducing CO2 emissions [102].
5.2. TES Technologies for DHC
5.3. TES as Enabling Technology for Sector Coupling
- CAES and PHES technologies lead to significant losses, and roundtrip efficiencies are 65% and 85%, respectively [5]. TES, on the other hand, minimizes roundtrip conversion losses;
- TES leads to higher efficiencies when RES are integrated as compared to electric storage [5];
- The lifetime and capacity of TES systems are also higher than the other two technologies mentioned [135].
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Nomenclature
ATES | Aquifer thermal energy storage |
BTES | Borehole thermal energy storage |
BITES | Building inertia thermal energy storage |
COP | Coefficient of performance |
CHP | Combined heat and power |
CAES | Compressed air energy storage |
DH | District heating |
DHC | District heating and cooling |
DHN | District heating network |
DHW | Domestic hot water |
EU | European union |
GHG | Greenhouse gases |
HP | Heat pumps |
HWT | Hot water tank |
IEA | International Energy Agency |
LTES | Latent thermal energy storage |
LTS | Long-term storage |
MCES | Multi-carrier energy system |
PCM | Phase change materials |
PV | Photovoltaic |
PTES | Pit thermal energy storage |
PHES | Pumped hydro energy storage |
RES | Renewable energy resources |
STS | Short-term storage |
TES | Thermal energy storage |
TCMS | Thermochemical storage |
TRL | Technology readiness level |
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Features | 1st Generation | 2nd Generation | 3rd Generation | 4th Generation | 5th Generation |
---|---|---|---|---|---|
Temperature | >200 °C [11] | >100 °C [11] | <100 °C [11] | 45–60 °C [11] | Region dependent, close to ambient temperature (10–30 °C) |
Energy sources | Coal-fired boilers, CHP [39] | Coal- and oil-based CHP [39] | Biomass, waste or fossil fuel boilers, CHP [39] | Solar PV, wind energy, low-temperature recycling [39] | High penetration of RES, heat pumps, industrial surplus heat [39] |
Renewable energy sources | No | No | Yes | Yes | Yes |
Simultaneous provision of heating and cooling | No | No | No | No | Yes |
Centralized/ Decentralized | Centralized | Centralized | Centralized | Partially decentralized | Highly decentralized |
Heat carrier | Steam [11] | Pressurized water [11] | Pressurized water [11] | Low-temperature water [11] | Ultra-low-temperature water |
Prosumers | No | No | No | Yes | Yes |
Period of available technology | 1880–1930 [39] | 1930–1980 [39] | 1980–2020 [39] | 2020–2050 [39] | In research phase |
Thermal losses | High | High | Medium | Low | Very low |
Exergy losses | High | High | Medium | Low | Very low |
Thermal storage | No | No | No | Yes | Yes |
Application | Aim | Findings | References |
---|---|---|---|
Ancillary services for grid | Voltage control | Voltage problems can be reduced with the appropriate controlling strategies of HP. | [44,45,46,47,48,49,50,51,52,59,68,69,70,71] |
Congestion management | Grid reinforcement can be reduced. Control strategies can reduce peaks but not in all cases. HP operation shows strong seasonal dependency for grid services. | ||
Balancing generation demand and frequency regulation | Pools of HP can be used. On-field examples are limited. | ||
Integration of RES | PV | Self-consumption increases with the use of variable speed HP. Seasonal inconsistency affects self-consumption. Feed-in peaks at noon can be reduced. | [30,53,54,55,56,57] |
Wind | Wind integration reduces carbon emissions. It also helps in reducing fluctuations and peaks. Use of grid electricity can be reduced with local wind turbines. | ||
Price-driven operation | Fluctuating electricity prices | More focus on decentralized control. Significant load shifting reported using price signals. Negative effect on efficiency reported. | [31,43,58,61,62,63,64,65,66,67] |
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Abdur Rehman, O.; Palomba, V.; Frazzica, A.; Cabeza, L.F. Enabling Technologies for Sector Coupling: A Review on the Role of Heat Pumps and Thermal Energy Storage. Energies 2021, 14, 8195. https://doi.org/10.3390/en14248195
Abdur Rehman O, Palomba V, Frazzica A, Cabeza LF. Enabling Technologies for Sector Coupling: A Review on the Role of Heat Pumps and Thermal Energy Storage. Energies. 2021; 14(24):8195. https://doi.org/10.3390/en14248195
Chicago/Turabian StyleAbdur Rehman, Omais, Valeria Palomba, Andrea Frazzica, and Luisa F. Cabeza. 2021. "Enabling Technologies for Sector Coupling: A Review on the Role of Heat Pumps and Thermal Energy Storage" Energies 14, no. 24: 8195. https://doi.org/10.3390/en14248195
APA StyleAbdur Rehman, O., Palomba, V., Frazzica, A., & Cabeza, L. F. (2021). Enabling Technologies for Sector Coupling: A Review on the Role of Heat Pumps and Thermal Energy Storage. Energies, 14(24), 8195. https://doi.org/10.3390/en14248195