CLP offers a wide range of free professional consultancy services to help customers analyse the energy consumption, provide advisory service for energy- efficient building design and conduct renewable application audit. Through this service, CLP can recommend the appropriate equipment and systems to enhance energy efficiency.
An energy audit process typically includes:
Your may refer to the Energy Audit Service and Energy Efficiency Loan Scheme Leaflet for more details. If you need the service, please complete and return the Energy Audit Application Form to the following address.
CLP Power Hong Kong Limited Business Strategy & Planning Department
7/F, Shamshuipo Centre
215 Fuk Wa Street
Sham Shui Po
CLP’s Customised Energy
Checkup Service provides on-site audit service on lighting, air conditioning,
indoor air quality and other energy consumption which are tailor-made for small
and medium-sized businesses.
CLP’s Energy Efficient Building Design service offers professional advice on greener and smarter premises design and construction, enabling high energy efficiency from the start of business and helping customers secure a long-term competitive advantage. The scope of service includes recommendations for suitable indoor lighting, air conditioning, water heating and cooking equipment. Propose and implement design solutions for energy-efficient building.
This service of GREENPLUS programme is to cater to the growing demand for renewable energy solutions, CLP conducts on-site inspections to determine the feasibility of implementing renewable energy.
Please click here to read about our successful stories or to find out more about renewable energy applications.
CLP’s Energy Consumption Analysis gives customers an accurate and
comprehensive picture of energy usage habits to empower smarter management
decisions. Using digital energy meter to record accurate usage data, we can
generate half-year report on average energy consumption pattern and breakdown on
a monthly, weekly and daily basis. In addition, we can provide consumption pattern
analysis for on-peak versus off-peak periods, as well as weekdays versus weekend.
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