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Team Name:

Hacktivators


Team Members:


Evidence of Work

GenEn

Project Info

Hacktivators thumbnail

Team Name


Hacktivators


Team Members


Ari , Craig , Sam , Andrew , Jacob and 1 other member with an unpublished profile.

Project Description


Problem & Current State

New Zealand is currently facing a critical energy crisis. A shortage of gas supply, which is used balance high demand for power when hydro, wind, and solar sources are insufficient, has combined with very low hydro lake levels. This has sent wholesale electricity prices sky rocketing, making New Zealand's prices among the highest in the developed world.Government agencies are prioritizing energy capacity of the grid as their top focus, and analyzing New Zealand’s energy needs growth from the immediate future to 2050, as well as the changing nature of energy sources and associated consumption.With climate change impacting weather patterns, New Zealand's reliance on hydro generation could lead to continued supply uncertainty. To address this, we need to better predict available generation using AI capabilities and incentivize current energy providers to build more capacity. A comprehensive solution using modern AI is essential in this era.By investing in these advanced technologies and diversifying our energy sources, we can create a more stable and sustainable energy future for New Zealand. This approach will ensure that we meet our energy needs while keeping costs manageable and reducing our reliance on non-renewable sources.

Solution


#enviroment #power #electricity #data analyst #lrmc #crisis #future #renewable #solor #growth #forcasting

Data Story


Pulling data from a number of sources, we are able to project a solution that would be able to handle the power requirements estimated by MBIE for 2050. Along with solar panel calculations from NIWA, we are able to generate more power and save people money on their power bill.


Evidence of Work

Video

Homepage

Project Image

Team DataSets

Ministry of Business, Innovation & Employment | Electricity Demand and Generation Scenarios: Results summary

Description of Use Used Data -Total electricity demand increases across all our scenarios to 2050 -EDGS 2024 Report 3 The renewable share of electricity generation could reach as high as 98.3% -Electricity demand assumptions Pg15

Data Set

Ministry of Business, Innovation & Employment | Projections of Solar Photo- Voltaic Uptake

Description of Use Long run marginal cost for solar power stations

Data Set

Offshore Renewable Energy Regulatory Regime: Policy Decisions

Description of Use statistics on construction cost for offshore wind in new zealand

Data Set

Waiting to generate: an analysis of onshore wind and solar PV project development lead-times in Australia

Description of Use Lead time data for solar power generation

Data Set

Evaluation of New Zealand Electricity Generation Expansion in Meeting Dry Year Demands

Description of Use Cost of power, lead time for power stations, Long run marginal cost

Data Set

Ministry of Business, Innovation & Employment | Household sales-based electricity cost data

Description of Use Used to find the average cost per unit of power and average consumption

Data Set

Ministry of Business, Innovation & Employment | Historical electricity information (New Zealand’s electricity supply, demand, and transmission and distribution)

Description of Use Identify and analyse fuel and generation types from 2008-2023

Data Set

Electricity Authority | Generation output by plant | 09 Aug 2024 - 01 Feb 2022

Description of Use Used to Calculate and Measure the Trading Points of Electricity Prices

Data Set

Electricity Authority | Generation investment pipeline | 20240617 Generation investment pipeline.csv

Description of Use Used to idenitfy and determine trends in certain generation and fuel types

Data Set

Electricity Authority | Existing generation plant EMI | 20151030_ExistingGenerationPlant.xls

Description of Use Used the type of generation, category, and the power units (MW or GWh) to assist with graph building data sets.

Data Set

Challenge Entries

SolarZero Challenge: Driving Climate Action Through Self-Service Solar Discovery

As part of our commitment to building a sustainable future, SolarZero invites innovators to help us transform how homeowners discover and adopt solar energy. In alignment with the 2024 Climate Change and Sustainable Public Policy theme, this challenge focuses on creating a cutting-edge, self-service tool that empowers homeowners to explore their solar potential independently. Solar energy is critical to reducing carbon emissions, and we believe that simplifying the solar journey is essential for widespread adoption.

Go to Challenge | 6 teams have entered this challenge.

Planning NZ’s electrical energy needs versus our generation capacity

How can we utilise AI/ML/Gen AI technologies to help plan our electrical energy needs vs generation capacity to help avert/avoid the spot pricing issues that are impacting NZ business and households at present?

Go to Challenge | 6 teams have entered this challenge.