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Strategies for decreasing peak loads and energy use

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Celsius Toolkit

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Celsius toolkit

The main techniques for demand side management of heat demand peaks are metering, heat storage systems, using heat capacity from buildings, involvement of users through economic incentives, increasing users' awareness regarding energy efficiency and connecting new consumers with different heat demand profiles (which balance the other loads).

 

Sharp peaks in the load of a DH-system are in many cases problematic. This means that additional production capacity must be added to the system, often at very short notice. This is due to the change in consumption and/or weather conditions. The goal is to minimize these peaks with different methods. This article describes the main techniques adopted for decreasing peak loads and managing the demand side of a district heating or cooling system.

Introduction

District heating (DH) is a consolidated technology, which has reached a consistent diffusion in Europe, mainly in the northern and eastern areas; on the other hand, district cooling (DC) is a relatively new concept, whose development mainly depends on the features of the district. The recent trend regarding heat production in DH networks is increasing the exploitation of waste heat sources and renewables. This means that in most cases, the temporal production profile of these sources is more rigid than the use of conventional fuels: more or less constant in the case of industrial waste heat or completely different from typical demand profiles for most renewable sources.

On the other hand, the tendency on the heat distribution side is to increase the heat storage capacity, both in the short term and in the long term, up to the seasonal level. The evolution of district heating from the demand side has been a little slower; the main tendency is related to the improvement of metering systems, with a gradual shift from old-style heating bills based on the size of the heated surfaces to billing systems based on the amount of provided heat. In addition to metering, the main techniques for demand side management regarding heat demand peaks are:

  • Demand-side heat storage systems, such as hot water storage at buildings or groups of buildings level.
  • Use of heat capacity of buildings or other heated users (i.e. swimming pools) for shifting, broadening and flattening demand peaks.
  • Active involvement of users through economic incentives, providing heat at different prices at different moments, depending on the waste heat availability compared to the demand.
  • Increase users’ awareness towards energy efficiency.
  • Connection of new consumers with different heat demand profiles that balance other loads.

The possibility and convenience of implementing all or part of these strategies on existing or new DH/DC systems are mainly dependent on climate, size of the network and used heat sources. In general, daily heat demand is more constant in colder climates and larger grids, whereas in warm climates, smaller networks and district cooling systems show sharper variations, and thus a larger need for thermal storage or peak capacity.

The reduction of annual variations is quite complicated: for district heating, it could be obtained through better insulation of buildings, allowing the relative reduction of space heating demand with respect to hot water production, and by the implementation of absorption cooling in the summer. In district cooling, a flattening of the yearly curve can be achieved through better screening of sunlight or by using different chill sources (adsorption cooling, cooling by river or underground water in cold climates).

In any case, seasonal heat storage is probably the best way to allow a sharp reduction in the annual demand peaks from other sources, although its implementation through the already available technologies (geological storage) is strongly limited by the geological conditions of sites and by the possibility of finding a fruitful balancing among cooling and heating needs along the year. Most DH/DC systems adopt the following prioritization scheme as regards heat production:

  • First priority is given to the cheapest and, usually, best environmentally performing heat sources (e.g.: industrial waste heat, CHP), typically providing heat constantly along the year and the day, but whose heat production patterns are normally not synchronized with those of heat demand.
  • When additional heat is required, better tunable and programmable plants are used (e.g.: solid biomass boilers, heat pumps), which have high installation but low operating costs due to a large number of hours per year and the low cost of fuel (for biomass) or the high efficiency (for heat pumps).
  • The residual production, following peak demand, is commonly provided by gas or oil-fired peak boilers, whose use is normally limited as much as possible.

The development of thermal energy storage systems was born as a cost-optimization strategy that allowed to maximize the exploitation of low-cost heat sources and minimize the use of dedicated peak boilers. However, these systems are useful also from a demand management perspective. The main actions that could be implemented in a DH/DC system as regards demand management are grouped under the name of load shaping and are schematized in the following figure 1: strategic load growth or conservation, load shifting, peak clipping, valley filling.

 Figure 1. Load shaping techniques.

Thermal energy storage (TES) can be applied as a mechanism for peak shaving or load shifting and integrated with the electricity network. For example, TES in combination with electrical devices such as electric resistances, heat pumps, air conditioning systems or chillers can cover heat/cooling demands in off-peak hours (when prices are lower, typically during the night) and store thermal energy to use it later during on-peak hours (typically during the day), in order to flatten end-users electrical load profile.

Demand management techniques

The features of the most important demand management techniques are presented in the table Demand management techniques and described in the paragraphs of this section.

Supply or demand side heat storage

The most widespread solution for heat storage is inertial storage, mainly based on large hot water tanks, which are present in several DH systems. This solution is mainly applied at the supply side to shave daily peaks, thus maximizing the exploitation of heat produced from cheaper sources. In addition to large dedicated tanks, also the DH network pipes are a kind of heat storage since the heat accumulated in the volume of water occupying the pipes has a thermal capacity and has an influence on the timing of heat distribution in the whole system.

Heat storage systems can be also implemented on the demand side, either by installing hot water tanks or by using the thermal capacity of the building itself. This technology specifically aims at load shifting and, if applied at large scales, can reduce or completely eliminate daily load variations, thus being one of the most promising solutions for demand side management.

Regarding users’ characteristics, demand peaks can be flattened by exploiting the difference in heat demand among different types of users. For example, residential users show peak demand around 7:00, office buildings around 8:00, swimming pools’ heat demand can be easily shifted one or two hours before opening, etc.

Seasonal heat storage

For long-term storage, a possibility which is being considered and implemented in several systems is geological heat storage. With this technology, large amounts of heat are stored for the whole season within underground aquifers or other geological layers, through indirect heat exchangers or, where possible, by directly injecting/recovering water. This technology is especially suitable for DH systems fed by large solar thermal systems collecting most of the energy during the summer, or waste heat from industrial processes producing it in excess of the demand of the DH system.

This solution foresees the storage of heat in media that are necessarily not insulated with respect to the surrounding ground so that the convenience of this system (aside from many possible problems related to heating large geological volumes, i.e. to natural underground water circulation, rocks fracturing and thermal expansion problems) increases with its size since storage volume grows cubically and thermal exchange surface increases squarely with linear dimensions.

Financial instruments

Policies aimed at reducing the energy demand of users of a district heating system are similar to those aimed at promoting, in general, energy efficiency in buildings. In both cases, the techniques to deal with on demand side management rely on the same instruments, which are metering and billing.

In the past, heat provided by the DH network was usually not measured at the served buildings and billing was fixed, sharing the service cost not on the real measured energy but on buildings’ size, sometimes corrected by some considerations on buildings’ characteristics and/or use. In this situation, no incentive to save energy for users is possible. The measurement at the user level gives evidence on consumptions, which are therefore directly linked to bills: this implies a direct interest of users in saving energy.

Metering consumption at the user level is much more efficient than metering at the building level: indeed, in the latter case, the savings due to the actions of one user (e.g.: the replacement of old windows with high performance ones) are shared with the other users. It is estimated that large building blocks can achieve savings of 20-25% thanks to the installation of individual metering systems in temperate climates; in colder climates their effectiveness is lower.

However, since the heat distribution network internal to buildings does not belong to the DH managing authority, such an intervention can be planned only by the buildings’ owners, which frequently results in not realizing any intervention. A possible solution may be the engagement of an ESCO, which can be linked to the DH company, in the implementation of this intervention. Metering and billing at the building level and at the unit level have a large impact on the overall energy demand within the DH systems, but also on peaks.

A common habit is to reduce or switch off space heating during the night. In homes equipped with programmable thermostats, this is commonly achieved by setting two different internal temperatures, i.e. 18 and 21°C, respectively during the night and during the day. This means that, at the user level, heating demand has a peak in the morning, when the set-point temperature passes from 18 to 21 °C. At the district level, this is translated in a peak in the first hours of the morning – which at the district level is broadened and lowered, with respect to the baseload, due to the different needs of the various DH users - implying the need for the DH manager to switch on peak boilers, especially when outdoor temperatures are low. Thus, night setback is unfavourable in most DH systems, and also questionable in modern, energy-efficient buildings since the indoor temperature will not drop quickly enough to achieve a reduction in the average indoor temperature (which is needed to achieve energy savings).

One possibility that is being implemented in some places is to introduce dynamic pricing, asking for higher tariffs during peak hours and offering lower tariffs during the night and lower heat demand hours. In this way, some effort from users can be further obtained: some of them will anticipate heat demand compared to the typical morning peak, thus achieving the overall result of flattening and broadening the peak.

The main obstacle to the implementation of this technique is often the need for replacing heat metering devices with systems registering data hourly. Another economic opportunity for demand management is the sale of internal comfort instead of energy. This is a more evolved service and a business model that promotes the reduction of buildings’ heat demand. This has no direct effect on peaks but allows to move the incentive to make buildings more energy efficient from the building owner to the energy company. For this reason, the energy company could choose to implement measures that are also beneficial in terms of peak balancing, for example, control systems that include peaks forecasting in physical (weather) or social (occupancy in homes/offices, etc.) heat loads.

Promotion of absorption systems for cooling

Absorption heat pumps can generate cooling water from heat and are therefore an interesting option for district heating companies who have access to waste heat, especially during the summer. An efficient strategy for district cooling is that implemented in Göteborg for chilled water production: free cooling is primarily exploited (i.e.: cold water from the river Göta Älv and outdoor air), then absorption heat pumps are used as a second option and electrical chillers are switched on only when none of the other techniques is sufficient to cover the load. The results of such a strategy are shown in figure 2.

 Figure 2. Cooling sources in Gothenburg.

Two options are available for the implementation of absorption systems: centralized chillers and local cooling sites. In the former solution, large absorption chillers are installed in the central production station and are fed with hot water coming from industrial waste heat recovery and/or CHP; chilled water at about 6°C is then distributed to users through a closed system of pipes and comes back to the chiller at approximately 11°C.

On the other hand, the latter solution foresees the exploitation of the existing district heating network: hot water is fed to the buildings and supplied to local absorption heat pumps that use it to produce chilled water. The main benefit of the use of local absorption heat pumps is to allow the cooling of buildings where the district cooling network is not available.

In the context of balancing peaks in the heat demands, the use of absorption chillers decreases the seasonal variations in the district heating network, by increasing the heat demand mainly during summer. It may also affect daily variations since they “transfer” cold demand variations to the district heating network. The use of absorption heat pumps is most beneficial in systems where waste heat is available during the period when cooling is demanded; however, with currently available absorption chillers, high temperatures are necessary, which may increase the losses in the distribution system and reduce electricity production, depending on the conditions in the system.

Since absorption chillers are not primarily powered by electricity, their use gives the maximum economic benefits where electricity prices are high. In addition, their use is most beneficial in systems where a significant fraction of heat is provided by industrial heat recovery systems, waste incineration or cogeneration plants that produce large amounts of heat also during the summer period.

Promotion of energy efficiency in buildings renovation

It is evident that building refurbishment has a direct impact on heat consumption. However, from a DH/DC management perspective, it is important to be able to quantify the overall impact of energy efficiency interventions, which mainly corresponds to quantifying the rate of refurbishment of the building stock.

A possible way to perform this analysis would be the use of agent-based models in order to survey the emerging behaviour, i.e. the collective impact of individual houses refurbishment on the overall heat load. In order to address these energy efficiency shortcomings, Swedish municipalities like Gothenburg have engaged in a holistic approach to energy reduction which in 2008 was outlined by the Swedish ventilation association (Svensk Ventilation):

  1. The first measure towards improved energy efficiency naturally consists of achieving better insulation of the building envelope.
  2. The second step consists of bringing improvements to the ventilation system as energy reductions must never happen at the expense of the comfort of the occupants.
  3. Once these measures concerning the building envelope and the ventilation system have been implemented, it is necessary to adapt the heat supply system (radiator loops) to the new heating requirements needed in every room.
  4. Afterwards, it is also beneficial to investigate energy savings that can be derived from the enhancement of the hot water systems.
  5. Eventually, some additional measures such as individual metering and the implementation of solar thermal panels can be implemented.

     Figure 3. Results of buildings retrofitting in Gothenburg.

The reduction of energy needs achieved in Gothenburg through the implementation of energy retrofitting measures on existing buildings is shown in Figure 3.

Promoting DH/DC development

A promotion of district heating and district cooling aimed at increasing the number of users, possibly characterized by different consumption patterns, shall result in a reduction of the statistical fluctuations in energy demand. This leads to the broadening of the daily loads and, more in general, to a relative reduction of the difference between minimum and maximum demand, which allows a more constant use of heat/chill generation systems. Even higher benefits can be achieved whether the new users are characterized by a completely different load pattern compared to residential and tertiary users. For example, the connection of ships to the DH network when at the quay, being implemented in a Celsius demonstrator in Gothenburg, is beneficial under this perspective because of the specific ferries used to stay at the quay during the night.

Thermal Energy StorageExcess heat from sewage in Hamburg and Singen, GermanyWaste heat recovery from sewage water in Cologne, Germany

Replicability
Low
Medium
High
Authorizative easiness   x  
Adaptability to different climate conditions     x
Technology easy-to-implement (No need for specific technical requirements)     x
Easy-to-implement (No need for specific technical requirements)     x
Easy-to-operate (No need for specific technical requirements)     x
Opportunity of integrating waste energy sources     x
CAPEX needed for the deployment of the solution   x