Validated with respect to actual historical numbers
Access virtually anywhere without any software licensing or installation
Generate scenarios, run models, and analyze results
Philippines is a net fossil energy importer and for power generation it relies heavily on imported coal. On an average, nearly half of the country’s primary energy needs are met through imported fuels, leading to energy security related challenges. To ensure availability of sustainable, reliable, and secure energy, Philippines has set an ambitious Renewable Energy (RE) expansion target – to raise installed RE generation capacity by 2030 to almost three times of its 2010 level i.e., from 5,438 megawatts (MW) to 15,304 MW.
Recently, as a part of the Intended Nationally Determined Contribution (INDC), Philippines committed to undertake GHG (CO2e) emissions reduction of about 70% by 2030 relative to its BAU scenario over the 2000-2030 period. Power sector would be a key contributor to meet this target.
However, growing share of Renewable Energy brings its own challenges such as grid integration due to intermittency of resources, estimates around electricity generation and potential tariffs along with overall commercial viability that need to be effectively assessed for the benefit of any market participant. Additionally, proper market mechanisms and policy structures are required to justify investment into flexible capacity for RE integration. These challenges require a suitable modelling framework to analyze these aspects from multiple perspectives.
Genesis Ray modelling framework for Philippines is such a power market modelling and optimisation tool with a rich database of the country’s power infrastructure, nodal RE resource variability, demand pattern, and representation of market operational procedures. It enables the analysis of power dispatch, generation mix, electricity prices, power flow etc. supporting informed decision making by new investors, system planners and market operators.
Loaded with a rich database of the country’s power infrastructure, nodal RE resource variability, demand pattern, and representation of market procedures
Simulate day-do-day Philippines power system and market operations to estimate realistic unit wise power dispatch and nodal electricity prices
Equipped with a series of dedicated scenario generation, model run, visualization and result analysis modules
A scenario generation and running utility where user can generate multiple scenarios for analysis and can initiate runs at one go
Specification of scenarios established by importing user’s own datasets or manually performed through the tool's GUI
A rich data aggregation and visualization module which integrates with the Model and enable user’s need of scenario analysis
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