• Energy Research
• 7. Clean energy close
• 12. Responsible consumption close

This data corresponds to the manuscript titled: Sustainable sugarcane vinasse biorefinement toward biobased chemicals and bioenergy generation

Cities are progressively heightening their climate aspirations to curtail urban carbon emis- sions and establish a future where economies and communities can flourish within the Earth’s eco- logical limits. Consequently, numerous climate initiatives are being launched to control urban car- bon emissions, targeting various sectors, including transport, residential, agricultural, and energy. However, recent scientific literature underscores the disproportionate distribution of climate poli- cies. While cities in the Global North have witnessed several initiatives to combat climate change, cities in the Global South remain uncovered and highly vulnerable to climate hazards. To address this disparity, we employed the Balanced Iterative Reducing and Clustering using the Hierarchies (BRICH) algorithm to cluster cities from diverse geographical areas that exhibit comparable socio- economic profiles. This clustering strives to foster enhanced cooperation and collaboration among cities globally, with the goal of addressing climate change in a comprehensive manner. In summary, we identified similarities, pa􏰀erns, and clusters among peer cities, enabling mutual and generaliza- ble learning among worldwide peer-cities regarding urban climate policy exchange. This exchange occurs through three approaches: (i) inner-mutual learning, (ii) cross-mutual learning, and (iii) outer-mutual learning. Our findings mark a pivotal stride towards a􏰀aining worldwide climate ob- jectives through a shared responsibility approach. Furthermore, they provide preliminary insights into the implementation of “urban climate policy exchange” among peer cities on a global scale.

This research proposes a dispatch strategy to Mae Hong Son (MHS) power system which is classified in 2 modes of operation: the normal mode and islanding mode. In this research, we design dispatch strategy of energy management system (EMS) using various renewable sources within MHS. In normal mode operation, we model the power system components in linear model and formulate EMS as linear program to solve for the optimal dispatch. Multi-objective function approach aims to minimize Total Operational Cost (TOC) and Total CO2 Emission (TCOE). In addition, we add Battery Energy Storage (BES) to the power generation and compare the results of operation to that of existing system as of 2014. In islanding mode, we go through various possibilities such as fault at day/night time, with/without BES. We formulate the dispatch strategy after fault subjected to constraints on hybrid power generation, battery state of charge, and power balance principle along with the power system condition. The results show the dispatch profiles of MHS power system based on the optimal operation.

Building energy simulation is an analytical process to help building owners and designers evaluate the energy performance of the building. Uncertainty in the building energy modelling influences the building renovation from two perspectives: 1) calculating as-built energy consumption, 2) analysing the energy performance of renovation alternatives. Energy models can enhance by incorporating contextual and surrounding data. To this aim, we conducted a systematic study to investigate the effect of surrounding buildings in different distances, heights, and directions in studying the as-built energy consumption of an example building. The research also investigates the impact of a specific surrounding building on the energy performance of three different renovation alternatives, namely the modification of windows, external walls, and roofs. The results demonstrate that a higher height to distance ratio of the surrounding buildings often causes a decrease in energy consumption. In addition, a surrounding building located in the south direction causes more effect on the energy result than other directions when the building is in the northern hemisphere. For renovation scenarios, if there is a specific building in the south of the building under renovation, the window modification leads to less energy consumption than other renovation scenarios. The paper discusses that for renovation projects, an initial examination of surrounding buildings before selecting the renovation alternative is crucial; since different placements of surrounding buildings can affect the performance of renovation scenarios differently, which can cause a variation in the cost of renovation.

This project investigated how virtual guilds, which are communities of practice based on open source principles, can enable micro-businesses to become more sustainable. The project worked with two micro-businesses in the North West of England, taking an action research approach that also aimed to benefit the partnering organisations in terms of their development. This dataset contains six reports, three for each organisation: 1) An organisation description, based on data from participant observation of workshops facilitated by the organisation, together with interviewing key individuals within the organisation and examining organisational documents (primarily the organisation's website and social media feeds). 2) Report on the first design workshop held with each organisation, which was focused on developing a specification for a prototype virtual guild model that could be implemented by them as part of their strategic development. 3) Report on the second design workshop held with each organisation a year later, focusing on how the design technique of value-led personas could enable them to consider how their stakeholders would interact with the organisation.

This dataset, in the context of the MultiPACK Project, describes the development of a CO2 air/water reversible heat pump, specifically investigating the domestic hot water (DHW) production operating mode. A dynamic model of the heat pump is developed with the software Simcenter Amesim. After validation against experimental data, the numerical model is utilized to predict the performance of the heat pump to varying hot water demand, evaporator air inlet conditions and high-pressure value, leading to the discussion of the optimal control strategy. A paper, based on this dataset, "Experimental and numerical investigation of a transcritical CO2 air/water reversible heat pump: analysis of domestic hot water production (14th Gustav Lorentzen Conference, Kyoto, Japan, 6th- 9th December 2020, DOI:10.18462/iir.gl.2020.1160).

re-experimentation. Note: All the datasets listed will be submitted. At the time of creating this link, they were even ready for upload. But I have suddenly found a new idea for improved complex, so deleted those datasets and reason for delay for new is - some errors, resdesigning, + lot personal work + pressure in getting new project + stress. How will I proceed, myself dont know but datasets/research will be uploaded. (cannot upload details as I m afraid, someoneelse will upload ). I cannot make profile hidden.This dataset is generated from a series of experiments to know the impact of .In this study,it was concluded that by do affects the active and reactive power generation and the optimum was . Though many industries will argue as it will add some cost but I justify it asExperiments are organized as 10 main experiments(10 folders) under which 7 different combinations of experiments (7 folders).Under each folder, there are 5 datasets. So, 0 experiments .The graphs(not comparative charts) can be regenerated using this dataset easily just by feeding the data and pressing button.The same has been done for , which is in other doi- . And the result of this study has been used to study "kw wind turbine"So datasets doi -"generator" , "comparison wind turbine", are related. Three papers related to these t submit to IEEE TransThis dataset contain simulation results,comparisons ,animated phase portraits.

This file contains the data and the STATA estimation code to replicate the results in the article entitled: "Information Communication Technology development and energy demand in African countries".

Abstract The metropolitan area of La Plata, Argentina, represents 1.6% of households in Argentina. Based on the analysis of the energy retrofit of a house, we provide indicators in order to propose a methodology that facilitates the extrapolation, at regional level, of the impact of a general energy retrofit in homes. The results obtained are presented from micro to macro level, in context of energy shortage and recurrent crisis in the supply of fuels and electricity in Argentina. The improved thermal resistance of walls and ceilings throughout the residential park of La Plata lead to a reduction of 12% of the energy consumed in heating, and a saving of 30,000 TEP / year. We conclude that the incidence of additional insulation on the cost of building justifies its use, partially solving the lack of fuel in our country, reducing fixed costs in housing, providing thermal comfort to users and generating economic reactivation of the construction sector.