A GIS-portal platform from the data perspective to energy hub digitalization solutions- A review and a case study

ABSTRACTE ective design and operation of district multi-energy systems is a complex task necessi-tating novel modeling and simulation approaches. In this paper, we introduce and describethe Holistic Urban Energy Simulation (HUES) platform, an extendable simulation envi-ronment for the study of urban multi-energy systems. The platform consists of a growingarray of modules and datasets which may be linked in di erent ways to address di erentproblems in the domain of urban energy systems. Via its combined role as model reposi-tory and information management system, the HUES platform facilitates the integrationand reuse of constituent modules, opening up possibilities to address the complexity ofurban energy systems.We demonstrate the use of the HUES platform via a case study exploring the relationshipbetween district size and the sizing of the necessary infrastructure, considering realisticvariability in heat demand between buildings. We hypothesize that larger districts maymore e ectively leverage the temporal variation of demand between buildings, reducinginfrastructure investment needs. This relationship is explored by linking three modulesof the HUES platform { a stochastic demand module, a building energy module and anenergy system module { each originally developed for di erent purposes and adapted forthis investigation. The results of the case study indicate that the limited coincidenceof demand peaks between buildings means that larger districts require less generationcapacity.The combination of computational modules employed in this case study allows us toextract insights unattainable with any of the modules in isolation { precisely the capabilitywe seek to enable with the HUES platform. Key challenges in the further development ofthe HUES platform include facilitating model validity, ensuring the development of trulyreusable modules and dealing with intellectual property issues.Keywords: Urban energy systems, Energy hub, Complexity, Modeling platform, DemandvariabilityINTRODUCTIONThe realization of sustainable urban systems requires optimal use of distributed and re-newable sources of energy. By serving as loci for the production, storage and consumptionof energy in multiple forms, district-scale multi-energy systems (energy hubs) can play animportant role in this. Recent work has solidi ed a set of methodologies for optimizingthe design and operation of these systems, considering renewables availability, buildingenergy demands, properties of energy storage and other system characteristics [1, 2, 3].A signi cant challenge in this body of work is complexity, manifest in the variety and

Optimal operation of DES/CCHP based regional multi-energy prosumer with demand response

Coordinated operation for multi-EHs with different risk preferences: A hybrid approach with stochastic programming and cooperative game

Energy hubs is an integrated system which is capable of transporting, transforming, and storing several types of energy. A number of hubs can be combined as a network and achieve higher efficiency by exchanging information and energy with each other. A decision-making framework for optimal integration of independent small-scale distributed energy systems and traditional large scale combined heating and power (CHP) plants is presented, and an energy supply system with renewable energy resources in Shanghai is cited as a case study. A performance simulation model of this energy network is proposed based on energy hub concept and energy flow between its elements. Furthermore, a novel optimization method named Whales optimization algorithm (WOA) is presented for 24 h operational optimization. A case study is undertaken on a seven-node energy system, including four energy hubs and three load hubs. The results of the case study show that the proposed model and optimization method can improve energy utilization efficiency and reduce system operating costs, even under a system contingency condition.

This study proposes the optimal bidding of a price‐maker energy hub. It employs game theory for optimal bidding strategy in a competitive and equilibrium market. The high flexibility of the energy hub helps it to make a profit from participation in the energy market. This price‐maker energy hub has some energy converters and combined heat and power to deliver energy to its loads. The strategy is that the proposed energy hub maximises its profit with the presence of other rival energy hubs. There are price uncertainties modelled by the Monte Carlo simulation. Incomplete information in the competitive market is modelled by the game theory, which causes the problem to be stochastic and equilibrium programming. The proposed solution for this problem uses stochastic bi‐level programming. The optimal bidding strategy of price‐maker energy hub is modelled in the upper level, and modelling of market clearance is at the lower level. The proposed algorithm has been evaluated in comparative case studies. The obtained results show the efficiency of the equilibrium environment in profit maximisation. The effect of price uncertainty in profit maximisation is also compared with the deterministic case study.

Industrial energy hubs with electric, thermal and hydrogen demands for resilience enhancement of mobile storage-integrated power systems

Enhancing energy hub efficiency through advanced modelling and optimization techniques: A case study on micro-refinery output products and parking lot integration

This paper presents the operation and optimisation of a smart multi-energy hub system network using the energy hub concept. The case study system network includes integrated solar photovoltaic and thermal power generation units and natural gas combined heat and power unit systems. A demand response-dynamic economic emission optimisation model is applied in the case study and allows for a comparison of energy hub control strategies including the evaluation of economic and environmental criteria and power import between energy hubs. The results show a significant reduction of more than 50% in both the total generation cost and amount of emission when different energy hub control strategies are employed. The results also show that load shifting capabilities of different energy hub loads cannot be ignored as they reduce the electricity bill of energy hub customers.

Mixed integer linear programing based approach for optimal planning and operation of a smart urban energy network to support the hydrogen economy

Energy hubs is a functional unit which is capable of transporting transforming and storing of several kinds of energy. Several hubs can be combined as a network and achieve higher efficiency by exchanging energy with each other. A framework to assist the decision-making process towards the optimal integration of independent small scale distributed energy systems and traditional large scale CHP power plants is presented using an energy supply system in Shanghai as a case study. A model of this complex network of energy hubs with renewable energy resources is presented based on energy flow between its constituent elements. Furthermore, GA optimization method is presented for short term 24-hour optimal operation. Case study are undertaken on a 7-node energy system which comprises 4 energy hubs and 3 load hubs. Results validate the high efficiency of this system. Two cases with and without internal-combustion engine failure within the network are considered. The results showed that the proposed system can enhance the energy utilization efficiency and reduce the system operation cost, even under a system contingency.

Robust operation of a multicarrier energy system considering EVs and CHP units

In this paper, the brief analysis of the circuit solution of power electronic system integrated within DC-micro grid system of the intelligent hub was realized. The main reason for this approach is the necessity to identify possibilities which may enable to boost massive electromobility within upcoming years. Several proposals for the intelligent power hub are considered, while attention is given for the solution of the power electronic systems. Almost these parts of whole system present the most challenging issue when overcoming of negative disturbances related to the massive electromobility is considered.

Current energy transitions towards the use of more distributed generation, as well as the decarbonisation of heat and transport, are changing the operation of local energy distribution systems. The impact of these local changes on a national scale energy supply system is not well understood. An energy hub approach was integrated into a national scale gas and electricity transmission networks model (CGEN), to represent local energy distribution systems. The energy hub models the integrated operation of electricity, natural gas and heat distribution systems. The distribution system within a region is described in terms of energy supply sources, conversion technologies and storage systems. Transmission supply points link the energy hubs with the gas and electricity transmission networks. A case study was conducted to investigate the impacts on model outputs by integrating energy hubs into the CGEN model. Preliminary results indicate that the operation of distributed generation and storage in energy hubs have a direct impact on electricity and natural gas supply in the transmission networks. The proposed methodology, therefore, extends the analytical capability of the CGEN model across multiple scales and vectors including heat.

An energy hub approach for direct interplant heat integration

Achieving energy sustainability in future neighborhoods through building refurbishment and energy hub concept: a case study in Hemberg-Switzerland