UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).

Lazard’s Levelized Cost of Energy+ is a widely cited report that analyzes the cost competitiveness of renewables, energy storage, and system considerations.

Climatiq (68K emission factors), EnergyPlus-MCP (35 tools), MCP-Energy-Hub, open-meteo-mcp (CMIP6). Rating: 3.5/5.

SimpleValidations lets you build robust data validation workflows with schema checks, simulations, and credentialing.

Professional organizations have proposed new voluntary standards for controlling infectious aerosols, such as ASHRAE Standard 241 (S241) which defines…

Contribute to danielmcquillen/validibot development by creating an account on GitHub.

Comprehensive guide covering 19+ energy MCP servers for power simulation, building modeling, solar/battery, grid carbon, and industrial IoT/SCADA.

This document describes the complete methodology implemented in the MATLAB function Smooth_Wind_Signal (V2.1), for smoothing wind speed (WS) and wind direction (WD) inputs. The workflow reads EnergyPl...

Researchers developed a continuous-time AI framework for adaptive energy control across multi-zone building profiles using public datasets and EnergyPlus simulations.

NEW YORK, July 13, 2026 - Lazard, Inc. (NYSE: LAZ) today announced the release of the 19th edition of its Levelized Cost of Energy+ (LCOE+) report.

Energy Modeling Engineer at Maiven - Python, pandas, AWS, ResStock, EnergyPlus, Modeling | Apply now on AIHackerJobs.com

Climate change poses significant challenges to energy efficiency and occupant comfort in residential buildings. This study introduces a simulation-based multi-objective optimization approach for architectural design, aimed at addressing these challenges and enhancing environmental sustainability. Utilizing EnergyPlus for energy simulations and jEPlus to identify objective functions and design parameters, the research employed the NSGA-II algorithm through jEPlus + EA for multi-objective optimization. A Morris sensitivity analysis assessed the impact of 25 design variables—including heating and cooling setpoints, air infiltration rates, insulation types, window selections, airflow rates, and HVAC systems—on key objective functions. Applied to a residential building in Sari, Iran, the study analyzed various climate change scenarios to minimize five main objectives: primary energy consumption, greenhouse gas emissions, indoor air quality, predicted percentage of dissatisfied, and visual discomfort hours. The weighted sum method was used to select optimal solutions from the Pareto front. Results demonstrated that the recommended energy retrofit strategies could reduce primary energy consumption by up to 60%, greenhouse gas emissions by 60%, predicted thermal dissatisfaction by 65%, and visual discomfort hours by 83%, while also achieving indoor air quality levels that meet ASHRAE recommended standards. However, the implementation of these energy-efficient solutions may require careful consideration of trade-offs in design decisions when addressing climate change challenges.

Connect a simulation to a Validibot workflow and suddenly your whole team can validate data quickly...without installs, setup rituals or other monkey business.

Energy performance ratings make it easier to shop for energy-efficient windows, doors, and skylights.