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Mixed-integer nonlinear programming 2018
NV Sahinidis - Optimization and Engineering, 2019 - Springer
Abstract Mixed-Integer Nonlinear Programming (MINLP) is the area of optimization that
addresses nonlinear problems with continuous and integer variables. MINLP has proven to …
addresses nonlinear problems with continuous and integer variables. MINLP has proven to …
Scenarios for the integration of renewable gases into the German natural gas market–A simulation-based optimisation approach
S Kolb, T Plankenbühler, J Frank, J Dettelbacher… - … and Sustainable Energy …, 2021 - Elsevier
Natural gas plays an essential role in Germany's energy system, both in the heating and
electricity sectors. In order to achieve climate goals, numerous technologies aim at …
electricity sectors. In order to achieve climate goals, numerous technologies aim at …
Energy consumption optimization model of large parallel natural gas pipeline network: using compressors with multiple operating modes
E Liu, Y Peng, Y Ji, M Azimi, L Shi - Energy & Fuels, 2022 - ACS Publications
In long-distance parallel pipelines, compressor stations are built together, and connecting
pipes and cut-off valves are arranged between pipelines, which makes it possible for …
pipes and cut-off valves are arranged between pipelines, which makes it possible for …
[KNIHA][B] Hydrogen Technologies
R Neugebauer - 2023 - Springer
Our current energy system is dominated by the use of fossil fuels—coal, oil and gas. These
energy carriers supply over 80 percent of the global primary energy supply [1]. The goal of …
energy carriers supply over 80 percent of the global primary energy supply [1]. The goal of …
A two-level MPC method for the operation of a gas pipeline system under demand variation
Y Bu, CLE Swartz, C Wu - Computers & Chemical Engineering, 2024 - Elsevier
A gas pipeline system is in an almost continual state of transition due to changing gas
demand. A control method is required to keep a gas pipeline operating in an energy-saving …
demand. A control method is required to keep a gas pipeline operating in an energy-saving …
Generative deep learning for decision making in gas networks
A decision support system relies on frequent re-solving of similar problem instances. While
the general structure remains the same in corresponding applications, the input parameters …
the general structure remains the same in corresponding applications, the input parameters …
Controlling transient gas flow in real-world pipeline intersection areas
F Hennings, L Anderson, K Hoppmann-Baum… - Optimization and …, 2021 - Springer
Compressor stations are the heart of every high-pressure gas transport network. Located at
intersection areas of the network, they are contained in huge complex plants, where they are …
intersection areas of the network, they are contained in huge complex plants, where they are …
Optimal operation of transient gas transport networks
K Hoppmann-Baum, F Hennings, R Lenz… - Optimization and …, 2021 - Springer
In this paper, we describe an algorithmic framework for the optimal operation of transient gas
transport networks consisting of a hierarchical MILP formulation together with a sequential …
transport networks consisting of a hierarchical MILP formulation together with a sequential …
Solving ac optimal power flow with discrete decisions to global optimality
We present a solution framework for general alternating current optimal power flow (AC
OPF) problems that include discrete decisions. The latter occur, for instance, in the context of …
OPF) problems that include discrete decisions. The latter occur, for instance, in the context of …
Fast and reliable transient simulation and continuous optimization of large-scale gas networks
We are concerned with the simulation and optimization of large-scale gas pipeline systems
in an error-controlled environment. The gas flow dynamics is locally approximated by …
in an error-controlled environment. The gas flow dynamics is locally approximated by …