Pinned Repositories
ARENA_MUREIL
Australian-National-Electricity-Market-with-and-without-flexible-ramping-products
Australia's goals of increased penetration of renewable energy such as wind energy will inevitably lead to increased variability and uncertainty of the ramps in net load (load minus non-dispatchable renewable generation). This increased variability and uncertainty requires conventional generators to be more flexible, but currently this flexibility is not fully integrated in market processes. The provision of additional flexibility may cause a reduction in economic efficiency, consumer surplus and/or producer surplus as conventional generators may need to modify their output from the optimal level in order to provide flexibility to account for future variability and uncertainty. As a solution to this problem, the Midwest and Californian Independent System Operators have proposed flexible ramping products as a mechanism to manage the uncertainty and variability in net load ramps in an economically preferable manner. The mechanism essentially aims to schedule conventional generators to provide enough ramping capability, or "flexibility", to satisfy a flexible ramping capability requirement. This requirement is designed to ensure a certain range of ramps in the next interval could be met, whether the ramps actually occur or not. This study aims to explore the implementation of flexible ramping products in the specific context of the Australian National Electricity Market (NEM), to determine whether or not they can be an effective mechanism for integrating variable renewable energy in Australia in the coming decades. This model is a simplified model of the Australian NEM, in which a unit commitment and economic dispatch is designed with flexible ramping products and a flexible ramping requirement. The simplification of the NEM includes a grouping of the five states into two regions, and an aggregation of generators by offered ramping speed and actual marginal costs. Actual load and wind generation data from the 2014/15 financial year is implemented in the model to attempt to simulate the market in a realistic manner.
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
calliope
High-resolution open-source energy system modelling framework in Python
ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复
gpt4-pdf-chatbot-langchain
GPT4 & LangChain Chatbot for large PDF docs
HDRI-EAF-Technoeconomic-model
The repository contains python codes to model the HDRI-EAF based steelmaking process, which could be used to produce green steel in the future.
message_ix
The integrated assessment and energy systems model MESSAGEix
MUREIL
Melbourne University Renewable Energy Integration Laborary
oemof
Open Energy Modelling Framework - Base packages for energy system modelling and optimisation
changlongw's Repositories
changlongw/ARENA_MUREIL
changlongw/Australian-National-Electricity-Market-with-and-without-flexible-ramping-products
Australia's goals of increased penetration of renewable energy such as wind energy will inevitably lead to increased variability and uncertainty of the ramps in net load (load minus non-dispatchable renewable generation). This increased variability and uncertainty requires conventional generators to be more flexible, but currently this flexibility is not fully integrated in market processes. The provision of additional flexibility may cause a reduction in economic efficiency, consumer surplus and/or producer surplus as conventional generators may need to modify their output from the optimal level in order to provide flexibility to account for future variability and uncertainty. As a solution to this problem, the Midwest and Californian Independent System Operators have proposed flexible ramping products as a mechanism to manage the uncertainty and variability in net load ramps in an economically preferable manner. The mechanism essentially aims to schedule conventional generators to provide enough ramping capability, or "flexibility", to satisfy a flexible ramping capability requirement. This requirement is designed to ensure a certain range of ramps in the next interval could be met, whether the ramps actually occur or not. This study aims to explore the implementation of flexible ramping products in the specific context of the Australian National Electricity Market (NEM), to determine whether or not they can be an effective mechanism for integrating variable renewable energy in Australia in the coming decades. This model is a simplified model of the Australian NEM, in which a unit commitment and economic dispatch is designed with flexible ramping products and a flexible ramping requirement. The simplification of the NEM includes a grouping of the five states into two regions, and an aggregation of generators by offered ramping speed and actual marginal costs. Actual load and wind generation data from the 2014/15 financial year is implemented in the model to attempt to simulate the market in a realistic manner.
changlongw/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
changlongw/calliope
High-resolution open-source energy system modelling framework in Python
changlongw/ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复
changlongw/gpt4-pdf-chatbot-langchain
GPT4 & LangChain Chatbot for large PDF docs
changlongw/HDRI-EAF-Technoeconomic-model
The repository contains python codes to model the HDRI-EAF based steelmaking process, which could be used to produce green steel in the future.
changlongw/message_ix
The integrated assessment and energy systems model MESSAGEix
changlongw/MUREIL
Melbourne University Renewable Energy Integration Laborary
changlongw/oemof
Open Energy Modelling Framework - Base packages for energy system modelling and optimisation
changlongw/OSeMOSYS
OSeMOSYS - the Open Source Energy Modelling System
changlongw/PowerTools
Mathematical Optimisation for Power Systems
changlongw/renpass
Renewable Energy Pathways Simulation System
changlongw/renpass_gis
The application renpassG!S stands for (r)enewable (en)ergy (pa)thway (s)imulation (s)ystem capable of working with data from geographic information systems (GIS). It is based on the original idea of renpass and closely linked to the Open Energy Modelling Framework (oemof).
changlongw/OptiPlant
Optiplant is a linear optimization model that minimize the investment and operation costs of a power-to-X system that can be powered with wind, solar and the grid
changlongw/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
changlongw/pyam
Analysis & visualization of energy & climate scenarios
changlongw/resistance-safe-houses
Places where resistance comrades can be fueled up by coffee and beer.
changlongw/urbs
A linear optimisation model for distributed energy systems