An evaluation framework for future integrated energy systems: A whole energy systems approach

Introduction to Energy Strategy Reviews theme issue “Future Energy Systems and Market Integration of Wind Power”

In line with the Swedish target of carbon neutrality by 2045, the municipality of Växjö in Kronoberg County has set its own target to be carbon neutral in 2030. Currently, the Municipality's partially decentralized energy system relies heavily on interconnected electricity supply from the national grid, and fuels imports from other parts of Sweden. Under this circumstance, several concerns arise, including: in which ways future demand changes induce supply changes, and whether a future carbon-neutral energy system will be less costly in a sustained-electricity supply condition. In this study, techno-economic evaluations are conducted for different carbon-neutral scenarios for Växjö’s future energy system in 2030 and 2050, using an hour-by-hour dynamic energy simulation tool of EnergyPLAN. Projections for the future energy demands for Växjö were developed and modeled, based on the development strategies and on the national sustainable future scenarios in Sweden. Results for the Växjö’s carbon-neutral scenarios showed that the current energy system is sufficient to satisfy future heat demand. However, fulfilling demands of electricity for all sectors and fuels for transport and industry is a challenge. In the short term and at increased energy demand and price, being carbon neutral is technically viable without major changes in energy supply technologies. However, in the long term, investment for intermittent renewable energy resources, together with carbon capture and storage is considered to be viable financially. Therefore, planning for a carbon-neutral Växjö based on local investments showed to be a feasible strategy.

Digital twins based day-ahead integrated energy system scheduling under load and renewable energy uncertainties

Introduction: To date, a variety of studies have been published on the topic of long term energy system transition. Most studies on future energy systems, however, have a shorter time frame or adopt a supranational focus (e.g. the Energy Roadmap, 2011 or the World Energy Outlook, 2015). It then constitutes a sincere challenge to perform a national energy system transition study with as time horizon 2050 and covering a far-reaching transformation of the energy system. VITO, together with the FPB (Federal Planning Bureau) and ICEDD, performed a study to scrutinise the transition of the Belgian national energy system towards a future mix entirely based on renewable energy sources. The focus on renewable energy sources and on building a national energy system completely running on renewable energy can be traced back to three main concerns: – Climate change: Renewable energy sources (RES) are a major instrument in the fight against climate change as RES do not release (net) greenhouse gas emissions. – Security...

BackgroundThis paper seeks to explore the roles of distribution system operators (DSOs) in future energy systems. Measures to combat climate change have led to a transition in the energy sector, where old system fundamentals are becoming obsolete, which results in changing rules for incumbent actors, such as DSOs. These actors must uphold heavily regulated operations within their distribution networks, while landscape trends are changing with a growing number of prosumers and distributed energy resources. To understand these future roles and increase the preparedness for future scenarios and facilitate thinking beyond current lock-ins, action-oriented workshops were held with two Swedish DSOs, departing from pre-developed future imaginaries, structured through transition theory. Researchers were actively involved in the workshops, to guide the participants in the discussions and to provide additional knowledge from transition processes. This was structured through transition theory, mainly in terms of linking transition management fundamentals to the topics in the workshops and basing the workshop discussions on an imagined future socio-technical system-wide approach using four focus areas.ResultsResults included descriptions of roles within future energy systems and their connection to specified value logics from different target groups which would, from the DSO perspective, create value in a future energy system. Roles included sustainable developer, facilitator for increased collaboration, balancing actor, and communicator. In addition, competence requirements were outlined concerning the described roles. The future logic was also described in a conceptual value model for an active DSO in a prosumer-oriented energy system, creating value in all different value logics. Moreover, it provided the steps necessary to develop a pathway aimed at the transformation of DSOs.ConclusionsThe study provided a constructive approach for DSOs to prepare for a future, more prosumer-oriented and flexible energy system, avoiding being locked in current system thinking and focusing on necessary roles and competencies suitable for a DSO. In addition, the utilization of the value logics approach helped place the prosumers in a differentiated manner, which can have implications for strategies among DSOs to create the necessary relations and collaborations for an efficient and value-creating future energy system.

Future highly renewable energy systems will couple to complex weather and climate dynamics. This coupling is generally not captured in detail by the open models developed in the power and energy system communities, where such open models exist. To enable modeling such a future energy system, we describe a dedicated large-scale dataset for a renewable electric power system. The dataset combines a transmission network model, as well as information for generation and demand. Generation includes conventional generators with their technical and economic characteristics, as well as weather-driven forecasts and corresponding realizations for renewable energy generation for a period of 3 years. These may be scaled according to the envisioned degrees of renewable penetration in a future European energy system. The spatial coverage, completeness and resolution of this dataset, open the door to the evaluation, scaling analysis and replicability check of a wealth of proposals in, e.g., market design, network actor coordination and forecasting of renewable power generation.

Advances in integration of energy, water and environment systems towards climate neutrality for sustainable development

Integrated energy systems (IESs), in which various energy flows are interconnected and coordinated to release potential flexibility for more efficient and secure operation, have drawn increasing attention in recent years. In this article, an integrated energy management system (IEMS) that performs online analysis and optimization on coupling energy flows in an IES is comprehensively introduced. From the theory perspective, an energy circuit method (ECM) that models natural gas networks and heating networks in the frequency domain is discussed. This method extends the electric circuit modeling of power systems to IESs and enables the IEMS to manage large-scale IESs. From the implementation perspective, the architecture design and function development of the IEMS are presented. Tutorial examples with illustrative case studies are provided to demonstrate its functions of dynamic state estimation, energy flow analysis, security assessment and control, and optimal energy flow. From the application perspective, real-world engineering demonstrations that apply IEMSs in managing building-, park-, and city-scale IESs are reported. The economic and environmental benefits obtained in these demonstration projects indicate that the IEMS has broad application prospects for a low/zero-carbon future energy system.

Most analyses of the future European energy system conclude that in order to achieve energy and climate change policy goals it will be necessary to ramp up the use of renewable energy sources. The stochastic nature of those energies, together with other sources of shortand long-term uncertainty, already have significant impacts in current energy systems operation and planning, and it is expected that future energy systems will be forced to become increasingly flexible in order to cope with these challenges. Therefore, policy makers need to consider issues such as the effects of intermittent energy sources on the reliability and adequacy of the energy system, the impacts of rules governing the curtailment or storage of energy, or how much backup dispatchable capacity may be required to guarantee that energy demand is safely met. Many of these questions are typically addressed by detailed models of the electric power sector with a high level of technological and temporal resolution. This report describes one of such models developed by the JRC's Institute for Energy and Transport: Dispa-SET 2.0, a unit commitment and dispatch model of the European power system aimed at representing with a high level of detail the short-term operation of large-scale power systems. The new model is an updated version of Dispa-SET 1.0, in use at the JRC since 2009. Table of

Guest Editorial: Situational awareness of integrated energy systems

A framework for local and regional energy system integration between industry and municipalities—Case study UPM-Kymmene Kaukas

Control in Low-Inertia Power and Integrated Energy Systems

IEA EBC Annex 67 Energy Flexible Buildings

Future energy systems will come with a 100% share of renewable energy and high integration of energy systems. District heating and cooling systems will be undeniable parts of the future energy systems, as they pave the bed for high-efficiency, low cost, and clean production. District heating systems may come into a wide range of designs in the future. Currently, most of the world’s district heating systems are based on the third generation design while everything in this framework is on the verge of a transition to the fourth generation. A large number of technologies for the future district heating systems has been proposed so far, among which low-, ultralow- and variable-temperature systems seem more of qualification. This study employs computational fluid dynamics to make a comprehensive examination of the compatibility of regular twin-pipes with various potential district heating schemes for future energy systems. The results show that both low- and ultralow-temperature systems could efficiently use regular twin-pipes commonly used in the third generation district heating systems, though the insulation of the pipe could be proportionally strengthened based on a techno-economic trade-off. In contrast, the results show that the thermal inertia of the pipe does not allow the variable-temperature district heating system to effectively operate when the transmission pipeline is longer than a limited length. Therefore, a regular heat distribution network may not be an appropriate host for a variable-temperature district heating scheme unless decentralized heat production units come into service.

As a key form of the evolution of future energy systems, integrated energy systems (IES) need to achieve the coordinated optimization of economy, energy efficiency, and carbon emissions in the context of the deep integration of multiple energy sources. Focusing on the collaborative operation of economy, energy efficiency, and carbon emissions in high-energy-consuming park IES, this paper presents a multi-energy coupling optimization strategy with carbon trading mechanisms and demand response (DR) considered. Combined with the stepped carbon trading mechanism for such IES, a multi-objective operation optimization model is constructed, targeting minimum system operation cost, maximum energy efficiency, and minimum total carbon emissions; meanwhile, a model solution strategy based on an improved differential evolution algorithm is designed. Simulation experiments are conducted on a typical high-energy-consuming park IES, comparing and analyzing the system's economic operation, energy efficiency performance, and carbon emissions before and after DR participation. Results show that the proposed optimization model enables the park IES to achieve coordinated optimal operation of economy, energy efficiency, and carbon emissions under DR scenarios; furthermore, the power grid DR mechanism significantly promotes the park IES to improve energy efficiency, enhance key equipment utilization, and reduce operation costs.