enter
Energy Intelligent Solutions
Established in 1992, providing energy efficiency, carbon
management
and carbon
process improvement
solutions
for
Energy and
management
solutions
industrial and commercial organisations
Energy audits, utilities strategy, carbon management,
process integration, exergyData
analysis,
data mining,
mining
specialists
optimisation, implementation, business intelligence, EMIS ..
BP, Rohm & Haas, Lafarge, Syngenta, Carlsberg,
Dairy Crest, Cleveland Potash, Blue
Sainsbury’s,
chip client
Marston’s, Centrica Power, Agfa, Artenius, ...
oil,
petrochemicals,
chemicals
minerals,
mining,
metals
power, paper,
Wide
food and
beverage
base
food retail,
Experience
hospitality,
offices
Some Recent Clients
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BP (oil)
KBC (refineries)
Honeywell (controls)
Schneider Electric (controls)
Endress & Hauser (instrumentation)
Rohm and Haas (petrochemicals)
Cleveland Potash (minerals)
Buxton Lime (lime)
Lafarge (cement)
Artenius (plastics)
Marks and Spencer (food retail)
Sainsbury’s (food retail)
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Marston’s (breweries, pubs)
Mitchells and Butler (pubs)
Carlsberg (brewing)
Heineken (brewing)
Dairy Crest (dairies)
Pfizer (pharmaceuticals)
Syngenta (agrichemicals)
Centrica (power generation)
SSE Power (CHP)
M real Paper (paper)
British Sugar (sugar)
British Airways (data centre)
Some Recent Projects
Chemicals Sector - Development of a strategy for energy and utilities at a major
chemicals complex to reduce energy and maintenance costs and improve profitability
Petrochemicals - Development of a new utilities strategy including the use of
renewable energy source and bio-fuels to reduce operating costs and improve
profitability
Minerals - Feasibility of a large combined heat and power plant and conversion of
the site from gas to oil. Development of an energy strategy
Dairy - Development of a strategy for fuels taking account of prices, capital
investment, carbon emissions, operability, reliability and maintenance
Drinks - Identification and development of energy cost reduction initiatives, involving
process heat recovery, boilers and steam systems, CHP, compressed air and
refrigeration.
Aluminium Processing - Development of heat recovery solutions to reduce energy
costs associated with the production of aluminium plates for digital printing
Military Base - Development of a solution to recover heat from engines to provide
chilled water for cooling.
Foods Manufacture - Development of a strategy and implementation plan for the
efficient design and operation of refrigeration systems
More Recent Projects
Dairy - Development of a strategy and implementation plan to reduce energy costs in
dairies, and provision of support to achieve improved performance
Pubs – Development of carbon and energy management strategy and
implementation plan, followed by support for the implementation of improvements
Minerals – Energy studies at minerals processing plants to identify and develop
opportunities to improve energy and process performance
Power Generation – Detailed analysis of power plant performance to identify
opportunities to increase energy efficiency
Oil and Gas – Detailed analysis of process and production data to identify measures
to improve the operations of oil fields, drilling, gas processing, oil stabilisation and oil
refining
Brewing – Identification of opportunities to reduce energy costs and development of
business cases
Commercial Buildings – Identification and development of strategies to reduce
energy costs and carbon emissions. Identification and development of specific
opportunities
Paper Manufacture – Detailed analysis of process performance using data mining
techniques to identify quick hit solutions to lowering energy use and
costs. Implementation of a real time energy management information system
Global Energy Consumption
Where will the new energy come from - Oil?
Gas
Global Energy Trading
Issues in the UK
Volatile energy prices
Concerns over security of supply
Demand restrictions
Uncertainty over regulations
Planning requirements
Stakeholder interest
Incentives for energy efficiency and low
carbon
New technologies
A typical industrial process
Energy Flows
The drivers for energy management in industry
Need to reduce operating
costs to improve profitability
and increase competitiveness
Regulatory compliance
Increasing demands for low
carbon products and services
from customers
Further emphasis on
environmental performance
by key stakeholders
Risks
Concerns about the security
of energy supplies
Competitor actions
Restrictions on energy
demands
The solutions
Short term
 Make the best of existing assets – improved performance
monitoring and management, process control, optimisation,
lower cost investments in efficient equipment
 Minimise impact of changes with flexible (optimum) plant
operation
Longer term
 Alternative energy sources
 Renewable energy
 Combined heat and power
 Process modifications and significant investments in energy
efficiency
 New products
Energy dashboards to raise interest and awareness
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Optimisation
Using data mining models and optimisation to manage production and reduce electricity demand
18,000
16,000
14,000
Demand kW
12,000
10,000
With production management
8,000
Without production management
6,000
4,000
2,000
0
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2
3
4
5
6
7
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Hour
The solutions
Short term
 Make the best of existing assets – improved performance
monitoring and management, process control, optimisation,
lower cost investments in efficient equipment
 Minimise impact of changes with flexible (optimum) plant
operation
Longer term
 Alternative energy sources
 Renewable energy
 Combined heat and power
 Process modifications and significant investments in energy
efficiency
 New products
More CHP
Renewable Energy
Developing an energy strategy
What are the future scenarios?
How likely are they?
How will alternative options perform in the
different scenarios?
Which options are best?
What is the payback?
Firstly we need to model performance
Use data mining …
… to predict future energy demands and costs
Define the uncertain inputs
Understand the possible energy costs
And find the main drivers
But we need solutions, not just insight
Use risk optimisation to evaluate benefits
But we also need to consider flexible operation
One solution is not best for all circumstances
Minimum daily energy costs (carbon, demand,..)
In Summary
Energy and carbon is uncertain and
represents a significant risk
 Analysis of the scenarios shows the likelihood of significant
impacts on the business
 Identifies the main issues
Risk optimisation
 Finds the best options for plant investments
 Taking account of flexible operations
 Allows for handling of constraints
One of a range of tools to understand and
improve energy and carbon performance
What is the value of risk analysis
Forces a methodology
Raises interest and awareness
Creates the business case
Improves understanding
(Finds optimum solutions)
(Finds the best strategy)