Impact of carbon emission constraint on design of small scale multi-energy system

Yi, Ji Hyun; Ko, Woong; Park, Jong–Keun; Park, Hyeongon

doi:10.1016/j.energy.2018.07.156

Cited by 33 publications

(24 citation statements)

References 22 publications

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“…The steady-state operation of an EDN is represented by the set of equations (2)- (5). The active and reactive power balance is shown in (2) and 3, respectively. The voltage magnitude drop at the circuit mn is determined by using (4), while (5) defines the square of the current flow magnitude at circuit mn, considering the square of the active and reactive power flows and the voltage magnitude.…”

Section: Non-convex Programming Modelmentioning

confidence: 99%

Voltage‐dependent load model‐based short‐term distribution network planning considering carbon tax surplus

Melgar‐Dominguez¹,

Pourakbari‐Kasmaei

Lehtonen

et al. 2019

IET Generation, Transmission & Distribution

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Nowadays, strategies to cope with environmental issues play a crucial role in the development of planning methodologies for electric distribution networks (EDNs). The primary goal of these methodologies is to find the equilibrium point, for which the EDN provides a high-quality service with the most environmentally-committed operation. Based on this fact, an alternative strategic approach for short-term EDN planning is presented in this manuscript. This decision-making scheme is based on classical investment actions to enhance the EDN performance in which the investment and operating costs, as well as the carbon tax surpluses, are minimized simultaneously. In this regard, unlike the traditional short-term planning methods and to explore a more accurate approach, the electricity demand is represented by the voltage-dependent exponential load model. By using this representation, substantial benefits related to energy saving can be achieved. To validate the proposed planning scheme, several test cases considering constant power demand and the voltage-dependent representation are widely studied on a 135-node distribution network. Additionally, the scalability of the proposed planning scheme is studied by using two medium distribution networks of 42-and 417-node. Numerical results confirm the robustness and applicability of the presented approach as an appropriate way of promoting to an efficient and low carbon tax surplus network.

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Section: Non-convex Programming Modelmentioning

confidence: 99%

Voltage‐dependent load model‐based short‐term distribution network planning considering carbon tax surplus

Melgar‐Dominguez¹,

Pourakbari‐Kasmaei

Lehtonen

et al. 2019

IET Generation, Transmission & Distribution

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“…Considering carbon emissions as an additional objective to be minimized creates a Pareto frontier of solutions which trade off emissions reductions for cost increases, and vice versa. The full Pareto frontier of cost and emissions can be sampled using the -constraint method [8], [10], [11], or if the set of potential technologies is small, the results for all combinations can be explicitly calculated [9]. Evins [7] presents a multi-level model where building and energy hub variables are optimized in the upper-level while operation variables (including binary variables for fuel cell status) are optimized in the lower level.…”

Section: Introductionmentioning

confidence: 99%

“…Picard and Helsen [9] evaluate only a limited number of possible equipment combinations in order to be able to evaluate all of their costs and emissions. Several authors [8], [10], [11] build MILP models, but without an independent operator. Therefore the derived solutions could satisfy the emissions constraints, but may not in practice.…”

Section: Introductionmentioning

confidence: 99%

Planning Low-Carbon Campus Energy Hubs

Olsen

Zhang

Chen

et al. 2019

IEEE Trans. Power Syst.

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Multi-energy systems can provide a constant level of service to end-use energy demands, while deriving delivered energy from a variety of primary/secondary energy sources. This fuel-switching capability can be used to reduce operating expenses, reduce environmental impacts, improve flexibility to accommodate renewable energy, and improve reliability.This paper presents four frameworks for incentivizing energy hub equipment investments for low-carbon operation targets. These frameworks vary in the measures taken to achieve lowcarbon operation (explicit constraint vs. carbon pricing) and in the relationship between the hub builder and operator (cooperative vs. uncoordinated). The underlying energy hub model upon which these frameworks are built is an enhanced greenfield model, introducing 'energy buses' to reduce dimensionality.A case study is conducted for a campus being designed in Beijing, and results from each framework are compared to illustrate their relative costs. When the operator cannot be trusted to cooperate in controlling emissions, the system must be 'overbuilt' with more expensive equipment to ensure emissions target are met. A taxation-based approach increases overall costs at moderate emissions targets, but this effect decreases at aggressive targets. This paper also compares the cost of less efficient institutional frameworks with the most efficient approach, i.e. cooperation between builder and operator with constraints on emissions.

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“…The energy conversion and coupling relationship are separately described for each device and energy carrier, with obvious an distinction compared to the EH concept, which is utilized to establish the relationship of the whole system from a global perspective. The device models for photovoltaic (PV), electrical energy storage (ESS), combined heat and power (CHP) plant, gas boiler (GB), heat pump (HP), and thermal energy storage (TES) have been developed with input-output characteristics, capacity constraints, ramp rate limits and other conditions [9]. In addition, models for each energy carrier (electricity, gas, and heat) have been proposed based on the energy balance principle in the MECS [9,10].…”

Section: Introductionmentioning

confidence: 99%

“…The device models for photovoltaic (PV), electrical energy storage (ESS), combined heat and power (CHP) plant, gas boiler (GB), heat pump (HP), and thermal energy storage (TES) have been developed with input-output characteristics, capacity constraints, ramp rate limits and other conditions [9]. In addition, models for each energy carrier (electricity, gas, and heat) have been proposed based on the energy balance principle in the MECS [9,10]. Based on MECS modeling, many scholars have focused on optimal operation strategy to realize rational energy distribution and efficient energy management.…”

Section: Introductionmentioning

confidence: 99%

Optimal Operation for Economic and Exergetic Objectives of a Multiple Energy Carrier System Considering Demand Response Program

Huang

Ding

et al. 2019

Energies

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An MECS (multiple energy carrier system) could meet diverse energy needs owing to the integration of different energy carriers, while the distinction of quality of different energy resources should be taken into account during the operation stage, in addition the economic principle. Hence, in this paper, the concept of exergy is adopted to evaluate each energy carrier, and an economic–exergetic optimal scheduling model is formulated into a mixed integer linear programming (MILP) problem with the implementation of a real-time pricing (RTP)-based demand response (DR) program. Moreover, a multi-objective (MO) operation strategy is applied to this scheduling model, which is divided into two parts. First, the ε-constraint method is employed to cope with the MILP problem to obtain the Pareto front by using the state-of-the-art CPLEX solver under the General Algebraic Modeling System (GAMS) environment. Then, a preferred solution selection strategy is introduced to make a trade-off between the economic and exergetic objectives. A test system is investigated on a typical summer day, and the optimal dispatch results are compared to validate the effectiveness of the proposed model and MO operation strategy with and without DR. It is concluded that the MECS operator could more rationally allocate different energy carriers and decrease energy cost and exergy input simultaneously with the consideration of the DR scheme.

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Impact of carbon emission constraint on design of small scale multi-energy system

Cited by 33 publications

References 22 publications

Voltage‐dependent load model‐based short‐term distribution network planning considering carbon tax surplus

Voltage‐dependent load model‐based short‐term distribution network planning considering carbon tax surplus

Planning Low-Carbon Campus Energy Hubs

Optimal Operation for Economic and Exergetic Objectives of a Multiple Energy Carrier System Considering Demand Response Program

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