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Location decision of agroforestry biomass cogeneration (AFBC) project belongs to macro site selection, which is an important task in the pre-project planning stage and directly affects the subsequent economic benefits of the project. However, there are few studies on the site selection of biomass cogeneration projects. And the existing research equates the site selection of biomass cogeneration projects with that of biomass power generation projects, without distinguishing between the two, which is unreasonable. Therefore, in order to solve the above problems, this paper proposes a location decision framework for the AFBC project based on multi-attribute decision-making (MADM) method. Firstly, a special evaluation criteria system is constructed for the location decision of the AFBC project, which includes three main criteria consisting of social needs, resource supply and economic factors, as well as 11 sub-criteria. Then, considering the strong independence of the criteria in the AFBC project location decision, the subjective and objective weights are determined by best-worst method (BWM) and entropy method respectively. And then multiplicative integration method is applied to calculate the comprehensive weights of the criteria to ensure the rationality. Afterwards, Multi-Attributive Border Approximation area Comparison (MABAC) method is used to rank alternative locations and select the optimal. Finally, a case from Hebei Province of China is illustrated to verify the feasibility and validity of this location decision framework in practical applications. • A criteria system is constructed for the location decision of the AFBC project. • An integrated MADM method combining BWM, entropy method and MABAC is proposed. • A location decision framework for the AFBC project is established. [ABSTRACT FROM AUTHOR]

• A new field of offshore wind-PV-seawater pumped storage site selection is studied. • A comprehensive and novel location selection criteria system is proposed. • An extended fuzzy TODIM based two-stage decision making framework is established. • Model's effectiveness is verified by a practical case in China. • This study fills the deficiency of renewable energy research to a certain extent. Constructing an economical wind-PV-seawater pumped storage (SPS) plant is crucial to promote the complementarity of wind and PV resources in time and space dimensions and to reduce energy abandonment caused by voltage instability. It is also beneficial to realizing long-time sustainable development objectives for offshore areas and even for the whole country. To select the optimal site of wind-PV-SPS power plants with massive difficulties lying in different attitudes of decision makers to loss risk, uncertainties of decision-making environment and various attributes of evaluation alternatives, a fuzzy multi criteria decision making based a two-stage evaluation mode is proposed. Firstly, two sets of criteria systems, representing veto selection of regional resources and the conditions of sustainable development described by triangular intuitionistic fuzzy numbers (TIFNs), are established to ensure the scientificality and comprehensiveness of the evaluation process. Then, alternatives are preliminarily selected through veto identification. Afterwards, criteria weights of the second evaluation stage determined by the entropy method are incorporated within TODIM (an acronym in Portuguese of interactive and multiple attribute decision making) to rank potential wind-PV-SPS objects. Finally, to validate the effectiveness of the proposed model, a case study in China is conducted and the calculation result shows that Qingtian Bay in Zhou Shan is the best. [ABSTRACT FROM AUTHOR]